RECURRENCE PLOTS::Bibliography

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A Comprehensive Bibliography about RPs, RQA, and their Applications

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theoretical and fundamental studies

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S. Abades, C. A. Richardson, R. Otaíza: Dynamical assessment of the accretionary record in the shell of the mussel Semimytilus algosus from a rocky shore in Chile, Biosystems, 57(3), 163–172 (2000). DOI:10.1016/S0303-2647(00)00098-8 » Abstract
S. Abbasi, S. Pirker, T. Lichtenegger: Application of recurrence CFD (rCFD) to species transport in turbulent vortex shedding, Computers & Fluids, 196, 104348 (2020). DOI:10.1016/j.compfluid.2019.104348 » Abstract
S. Abbasi, S. Puttinger, S. Pirker, T. Lichtenegger: Recurrence analysis and time extrapolation of a confined turbulent jet using modal decomposition, Physics of Fluids, 32(7), 075115 (2020). DOI:10.1063/5.0010315 » Abstract
S. Abdallah, M. B. Sandler, C. Rhodes, M. Casey: Using duration models to reduce fragmentation in audio segmentation, Machine Learning, 65(2–3), 485–515 (2006). DOI:10.1007/s10994-006-0586-4 » Abstract
I. Abdennaji, M. Zaied, J. Girault: Prediction of protein structural class based on symmetrical recurrence quantification analysis, Computational Biology and Chemistry, 92, 107450 (2021). DOI:10.1016/j.compbiolchem.2021.107450 » Abstract
R. Abdu, S. Tancredi, D. Abrahamson, R. Balasubramaniam: Demonstrating mathematics learning as the emergence of eye–hand dynamic equilibrium, Educational Studies in Mathematics, 118, 505–528 (2025). DOI:10.1007/s10649-023-10279-0 » Abstract
M. G. Abdu-Aguye, K. Nandakumar: Recurrence-based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers, Proceedings of the 31st European Signal Processing Conference (EUSIPCO 2023), , 625–629 (2023). DOI:10.23919/EUSIPCO58844.2023.10290062 » Abstract
M. Abe: Functional advantages of Lévy walks emerging near a critical point, Proceedings of the National Academy of Sciences, 117(39), 24336–24344 (2020). DOI:10.1073/pnas.2001548117 » Abstract
F. Abedinzadeh, Y. Modaresnia, S. Hosseini: An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks, Medicine in Novel Technology and Devices, 22, 100297 (2024). DOI:10.1016/j.medntd.2024.100297 » Abstract
M. Abid, G. Lefebvre: Improving indoor geomagnetic field fingerprinting using recurrence plot-based convolutional neural networks, Journal of Location Based Services, 15(1), 61–87 (2021). DOI:10.1080/17489725.2020.1856428 » Abstract
M. Abid, P. Compagnon, G. Lefebvre: Improved CNN-based Magnetic Indoor Positioning System using Attention Mechanism, Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021) (2021). DOI:10.1109/IPIN51156.2021.9662602 » Abstract
A. Abidi, D. Ienco, A. Abbes, I. Farah: Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series, Engineering Applications of Artificial Intelligence, 122, 106152 (2023). DOI:10.1016/j.engappai.2023.106152 » Abstract
D. H. Abney, A. Paxton, R. Dale, C. T. Kello: Movement dynamics reflect a functional role for weak coupling and role structure in dyadic problem solving, Cognitive Processing, 16(4), 325–332 (2015). DOI:10.1007/s10339-015-0648-2 » Abstract
M. Aboofazeli, Z. K. Moussavi: Comparison of recurrence plot features of swallowing and breath sounds, Chaos, Solitons & Fractals, 37(2), 454–464 (2008). DOI:10.1016/j.chaos.2006.09.026 » Abstract
M. Aboofazeli, Z. K. Moussavi: Swallowing sound detection using hidden markov modeling of recurrence plot features, Chaos, Solitons & Fractals, 39(2), 778–783 (2009). DOI:10.1016/j.chaos.2007.01.071 » Abstract
D. Abrahamson, S. Tancredi, R. S. Y. Chen, V. J. Flood, E. Dutton: Embodied Design of Digital Resources for Mathematics Education: Theory, Methodology, and Framework of a Pedagogical Research Program, In: Handbook of Digital Resources in Mathematics Education, Springer, Cham (Switzerland), 217–250 (2024). DOI:10.1007/978-3-031-45667-1_8 » Abstract
L. Abrishami, D. Toffa, P. Pouliot, F. Lesage, D. Nguyen: Identification of global and local states during seizures using quantitative functional connectivity and recurrence plot analysis, Computers in Biology and Medicine, 122, 103858 (2020). DOI:10.1016/j.compbiomed.2020.103858 » Abstract
M. A. Aceves-Fernandez, J. M. Ramos-Arreguín, J. C. Pedraza-Ortega, A. Sotomayor-Olmedo, S. Tovar-Arriaga: Finding Trends of Airborne Harmful Pollutants by Using Recurrence Quantification Analysis, American Journal of Environmental Engineering, 1(1), 10–14 (2011). DOI:10.5923/j.ajee.20110101.02 » Abstract
M. A. Aceves-Fernandez, J. C. Pedraza-Ortega, A. Sotomayor-Olmedo, J. M. Ramos-Arreguín, J. E. Vargas-Soto, S. Tovar-Arriaga: Analysis of Key Features of Non-Linear Behaviour Using Recurrence Quantification. Case Study: Urban Airborne Pollution at Mexico City, Environmental Modeling & Assessment, 19(2), 139–152 (2014). DOI:10.1007/s10666-013-9381-3
Also published in Journal of Environmental Protection, 3, 1147–1160, 2012. » Abstract
M. A. Aceves-Fernandez, J. M. Ramos-Arreguin, E. Gorrostieta-Hurtado, J. C. Pedraza-Ortega: Methodology Proposal of EMG Hand Movement Classification Based on Cross Recurrence Plots, Computational and Mathematical Methods in Medicine, 2019, 6408941 (2019). DOI:10.1155/2019/6408941 » Abstract
M. A. Aceves-Fernandez: Methodology proposal of ADHD classification of children based on cross recurrence plots, Nonlinear Dynamics, 104, 1491–1505 (2021). DOI:10.1007/s11071-021-06336-z » Abstract
U. R. Acharya, O. Faust, N. Kannathal, T. L. Chua, S. Laxminarayan: Non-linear analysis of EEG signals at various sleep stages, Computer Methods and Programs in Biomedicine, 80(1), 37–45 (2005). DOI:10.1016/j.cmpb.2005.06.011 » Abstract
U. R. Acharya, K. P. Joseph, N. Kannathal, C. M. Lim, J. S. Suri: Heart rate variability: a review, Medical and Biological Engineering and Computing, 44(12), 1031–1051 (2006). DOI:10.1007/s11517-006-0119-0 » Abstract
U. R. Acharya, K. P. Joseph, N. Kannathal, L. Min, J. S. Suri: Heart Rate Variability, In: Advances in Cardiac Signal Processing, Eds.: U. R. Acharya and J. Suri and J. Spaan and S. Krishnan, Springer, Berlin, Heidelberg, 121–165 (2007). DOI:10.1007/978-3-540-36675-1_5
U. R. Acharya, S. Vinitha Sree, S. Chattopadhyay, W. Yu, A. P. C. Ang: Application of recurrence quantification analysis for the automated identification of epileptic EEG signals, International Journal of Neural Systems, 21(3), 199–211 (2011). DOI:10.1142/S0129065711002808 » Abstract
U. R. Acharya, E. C. P. Chua, O. Faust, T.-C. Lim, L. F. B. Lim: Automated detection of sleep apnea from electrocardiogram signals using nonlinear parameters, Physiological Measurement, 32(3), 287–303 (2011). DOI:10.1088/0967-3334/32/3/002 » Abstract
U. R. Acharya, W. Yu, S. Chattopadhyay, K. Zhu, E. Y. K. Ng, G. Swapna: Recurrence quantification analysis of body response to functional electrical stimulation on hemiplegic subjects, Journal of Mechanics in Medicine and Biology, 12(3), 1250038 (2012). DOI:10.1142/S0219519411004770 » Abstract
U. R. Acharya, O. Faust, S. Vinitha Sree, D. N. Ghista, S. Dua, K. P. Joseph, V. I. Thajudin Ahamed, N. Janarthanan, T. Tamura: An integrated diabetic index using heart rate variability signal features for diagnosis of diabetes, Computer Methods in Biomechanics and Biomedical Engineering, 16(2), 222–234 (2013). DOI:10.1080/10255842.2011.616945 » Abstract
U. R. Acharya, O. Faust, N. Adib Kadri, J. S. Suri, W. Yu: Automated identification of normal and diabetes heart rate signals using nonlinear measures, Computers in Biology and Medicine, 43(10), 1532–1529 (2013). DOI:10.1016/j.compbiomed.2013.05.024 » Abstract
U. R. Acharya, O. Faust, D. N. Ghista, S. Vinitha Sree, A. P. C. Alvin, S. Chattopadhyay, T.-C. Lim, E. Y. K. Ng, W.-W. Yu: A Systems Approach to Cardiac Health Diagnosis, Journal of Medical Imaging and Health Informatics, 3(2), 261–267 (2013). DOI:10.1166/jmihi.2013.1149 » Abstract
U. R. Acharya, S. Vinitha Sree, G. Swapna, R. J. Martis, J. S. Suri: Automated EEG analysis of epilepsy: A review, Knowledge-Based Systems, 45, 147–165 (2013). DOI:10.1016/j.knosys.2013.02.014 » Abstract
U. R. Acharya, O. Faust, V. Sree, G. Swapna, R. J. Martis, N. A. Kadri, J. S. Suri: Linear and nonlinear analysis of normal and CAD-affected heart rate signals, Computer Methods and Programs in Biomedicine, 113(1), 55–68 (2014). DOI:10.1016/j.cmpb.2013.08.017 » Abstract
U. R. Acharya, V. K. Sudarshan, H. Adeli, J. Santhosh, J. E. W. Koh, S. D. Puthankatti, A. Adeli: A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals, European Neurology, 74(1–2), 79–83 (2015). DOI:10.1159/000438457 » Abstract
U. R. Acharya, V. K. Sudarshan, H. Adeli, J. Santhosh, J. E. W. Koh, A. Adeli: Computer-Aided Diagnosis of Depression Using EEG Signals, European Neurology, 73(5–6), 329–336 (2015). DOI:10.1159/000381950 » Abstract
U. R. Acharya, H. Fujita, V. K. Sudarshan, D. N. Ghista, L. W. J. Eugene, J. E. W. Koh: Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC2015), 1110–1115 (2015). DOI:10.1109/SMC.2015.199 » Abstract
U. R. Acharya, S. Bhat, O. Faust, H. Adeli, E. C. P. Chua, W. J. E. Lim, J. E. W. Koh: Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection, European Neurology, 74(5–6), 268–287 (2016). DOI:10.1159/000441975 » Abstract
U. R. Acharya, Y. Hagiwara, J. E. W. Koh, J. H. Tan, S. V. Bhandary, A. K. Rao, U. Raghavendra: Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features, Journal of Computational Science, 20, 41–51 (2017). DOI:10.1016/j.jocs.2017.03.005 » Abstract
U. R. Acharya, O. Faust, E. J. Ciaccio, J. E. W. Koh, S. L. Oh, R. S. Tan, H. Garan: Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation, Computer Methods and Programs in Biomedicine, 175, 163–178 (2019). DOI:10.1016/j.cmpb.2019.04.018 » Abstract
U. R. Acharya, Y. Hagiwara, S. N. Deshpande, S. Suren, J. E. W. Koh, S. L. Oh, N. Arunkumar, E. J. Ciaccio, C. M. Lim: Characterization of focal EEG signals: A review, Future Generation Computer Systems, 91, 290–299 (2019). DOI:10.1016/j.future.2018.08.044 » Abstract
E. Acilan, M. Gol: Novel Parameter Error Identification Method for Power Plant Dynamic Models, IEEE Transactions on Power Systems, 39, 957–966 (2024). DOI:10.1109/TPWRS.2023.3253842 » Abstract
G. Acosta, H. Daffern: Complexity of Vocal Vibrato in Opera and Jazz Recordings: Insights From Entropy and Recurrence Analyses, Journal of Voice, , (2023). DOI:10.1016/j.jvoice.2023.11.020 » Abstract
G. Acosta, H. Daffern: Complexity of Vocal Vibrato in Opera and Jazz Recordings: Insights From Entropy and Recurrence Analyses, Journal of Voice, , (in press). DOI:10.1016/j.jvoice.2023.11.020 » Abstract
N. Acuña-González, E. García-Ochoa, J. González-Sánchez: Assessment of the dynamics of corrosion fatigue crack initiation applying recurrence plots to the analysis of electrochemical noise data, International Journal of Fatigue, 30(7), 1211–1219 (2008). DOI:10.1016/j.ijfatigue.2007.09.002 » Abstract
S. Adamus, K. Bielski, I. Szatkowska, M. Gola, M. Draps: Exploring the role of the amygdala in Compulsive Sexual Behavior Disorder via a parcellation pipeline based on Recurrence Quantification Analysis, Journal of Behavioral Addictions, 14(1), 204–219 (2025). DOI:10.1556/2006.2025.00014 » Abstract
P. M. Addo, M. Billio, D. Guégan: Nonlinear dynamics and recurrence plots for detecting financial crisis, The North American Journal of Economics and Finance, 26, 416–435 (2013). DOI:10.1016/j.najef.2013.02.014 » Abstract
P. M. Addo, M. Billio, D. Guégan: Turning point chronology for the Euro area: A distance plot approach, OECD Journal: Journal of Business Cycle Measurement and Analysis, 2014(1), 89–102 (2015). DOI:10.1787/jbcma-2014-5jxwz80d73q8 » Abstract
A. T. Adediji, S. T. Ogunjo: Variations in non-linearity in vertical distribution of microwave radio refractivity, Progress In Electromagnetics Research M, 36, 177–183 (2014). DOI:10.2528/PIERM14041606 » Abstract
A. O. Adelakun, J. S. Ojo, O. V. Edward: Quantitative analyses of complexity and nonlinear trend of radio refractivity gradient in the troposphere, Advances in Space Research, 65(9), 2203–2215 (2020). DOI:10.1016/j.asr.2019.09.055 » Abstract
A. O. Adelakun, F. Adelakun: Mathematical modeling and seasonal solar radiation variability in Nigeria's geo-political zones: A recurrence and multifractal analysis, Journal of Atmospheric and Solar-Terrestrial Physics, 261, 106290 (2024). DOI:10.1016/j.jastp.2024.106290 » Abstract
A. E. Adeniji, O. I. Olusola, A. N. Njah: Comparative study of chaotic features in hourly wind speed using recurrence quantification analysis, AIP Advances, 8(2), 025102 (2018). DOI:10.1063/1.4998674 » Abstract
A. E. Adeniji, A. N. Njah, O. I. Olusola: Phase synchronization between solar radiation and wind speed data from some locations across Nigeria via nonlinear recurrence measures, Chinese Journal of Physics, 61, 274–282 (2019). DOI:10.1016/j.cjph.2019.08.015 » Abstract
A. E. Adeniji, A. N. Njah, O. I. Olusola: Regional and Seasonal Variation of Chaotic Features in Hourly Solar Radiation Based on Recurrence Quantification Analysis, Journal of Applied Nonlinear Dynamics, 9(2), 175–187 (2020). DOI:10.5890/JAND.2020.06.002 » Abstract
M. Adhami, N. Jamshidi, R. Zarghami, N. Mostoufi: Characterization of hydrodynamics of bubble columns by recurrence quantification analysis, Chaos, Solitons & Fractals, 111, 213–226 (2018). DOI:10.1016/j.chaos.2018.04.011 » Abstract
L. C. S. Afonso, G. H. Rosa, C. R. Pereira, S. A. T. Weber, C. Hook, V. H. C. Albuquerque, J. P. Papa: A recurrence plot-based approach for Parkinson's disease identification, Future Generation Computer Systems, 94, 282–292 (2019). DOI:10.1016/j.future.2018.11.054 » Abstract
O. Afsar, D. Eroglu, N. Marwan, J. Kurths: Scaling behaviour for recurrence-based measures at the edge of chaos, Europhysics Letters, 112(1), 10005 (2015). DOI:10.1209/0295-5075/112/10005 » Abstract
O. Afsar, U. Tirnakli, N. Marwan: Recurrence Quantification Analysis at work: Quasi-periodicity based interpretation of gait force profiles for patients with Parkinson disease, Scientific Reports, 8, 9102 (2018). DOI:10.1038/s41598-018-27369-2 » Abstract
V. Agarawal, A. Chakraborty, R. Maitra: Stability analysis of a double similarity transformed coupled cluster theory, Journal of Chemical Physics, 153(8), 084113 (2020). DOI:10.1063/5.0018383 » Abstract
V. Agarawal, S. Roy, A. Chakraborty, R. Maitra: Accelerating coupled cluster calculations with nonlinear dynamics and supervised machine learning, Journal of Chemical Physics, 154(4), 044110 (2021). DOI:10.1063/5.0037090 » Abstract
A. Agarwal, P. Azais, L. Cifarelli, J. de Boer, D. Eroglu, G. Gebel, C. Hidalgo, D. Jamet, J. Kurths, F. Lefebvre-Joud, S. Linderoth, A. Loarte, N. Marwan, N. Mingo, U. Ozturk, S. Perraud, R. Pitz-Paal, S. Poedts, T. Priem, B. Rech, M. Ripani, S. Sharma, T. Quoc Tran, H.-J. Wagner: Physics for the environment and sustainable development, In: EPS Grand Challenges – Physics for Society in the Horizon 2050, Eds.: M. Sakellariadou and C.-E. Wulz and K. van Der Beek and F. Ritort and B. van Tiggelen and R. Assmann and G. Cerullo and L. Cifarelli and C. Hidalgo and F. Barbato and C. Beck and C. Rossel and L. van Dyck, IOP Publishing, Bristol, 6-1–6-132 (2024). DOI:10.1088/978-0-7503-6342-6ch6 » Abstract
E. Agletdinov, I. Yasnikov: Application of recurrence quantification analysis of acoustic emission time series to analysis of a plastic flow of metals, Physical Review E, 108(4), 044217 (2023). DOI:10.1103/PhysRevE.108.044217 » Abstract
R. Agrawal, D. Jana, R. K. Upadhyay, V. S. H. Rao: Complex dynamics of sexually reproductive generalist predator and gestation delay in a food chain model: double Hopf-bifurcation to Chaos, Journal of Applied Mathematics and Computing, 55(1–2), 513–547 (2017). DOI:10.1007/s12190-016-1048-1 » Abstract
M. I. A. Agung, E. Nurmalia, E. Joelianto: Performances of Human Activity Recognition Classification Using LSTM and 1D-2D CNN, Proceeding of the IEEE 9th Information Technology International Seminar (ITIS 2023), 1–6 (2023). DOI:10.1109/ITIS59651.2023.10420132 » Abstract
P. Agustí, V. J. Traver, M. J. Marin-Jimenez, F. Pla: Exploring Alternative Spatial and Temporal Dense Representations for Action Recognition, Lecture Notes in Computer Science, 6855, 364–371 (2011). DOI:10.1007/978-3-642-23678-5_43 » Abstract
P. Agustí, V. J. Traver, F. Pla: Characterizing actions with local descriptors based on kinematics and flow recurrences, Lecture Notes in Computer Science, 7887, 322–329 (2013). DOI:10.1007/978-3-642-38628-2_38 » Abstract
H. Ahammer, M. A. Reiss, M. Hackhofer, I. Andronache, M. Radulovic, F. Labra-Spröhnle, H. F. Jelinek: ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D, PLoS ONE, 18(10), e0292217 (2023). DOI:10.1371/journal.pone.0292217
A. Ahlborn, U. Parlitz: Experimental observation of chaotic phase synchronization of a periodically modulated frequency-doubled Nd:YAG laser, Optics Letters, 34(18), 2754–2756 (2009). DOI:10.1364/OL.34.002754 » Abstract
C. Ahlstrom, K. Höglund, P. Hult, J. Häggström, C. Kvart, P. Ask: Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis, International Journal of Biological and Life Sciences, 1(3), 213–218 (2005). » Abstract
C. Ahlstrom, A. Johansson, P. Hult, P. Ask: Chaotic dynamics of respiratory sounds, Chaos, Solitons & Fractals, 29(5), 1054–1062 (2006). DOI:10.1016/j.chaos.2005.08.197 » Abstract
C. Ahlstrom, P. Hult, P. Ask: Detection of the 3rd heart sound using recurrence time statistics, Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2(1660524), II1040–II1043 (2006). DOI:10.1109/ICASSP.2006.1660524 » Abstract
C. Ahlstrom, P. Hult, P. Ask: Thresholding distance plots using true recurrence points, Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 3(1660747), III688–III691 (2006). DOI:10.1109/ICASSP.2006.1660747 » Abstract
S. A. Ahmad, P. H. Chappell: Surface EMG classification using moving approximate entropy, Proceedings of the International Conference on Intelligent and Advanced Systems ICIAS 2007, 1163–1167 (2007). DOI:10.1109/ICIAS.2007.4658567 » Abstract
S. A. Ahmad, P. H. Chappell: Moving approximate entropy applied to surface electromyographic signals, Biomedical Signal Processing and Control, 3(1), 88–93 (2008). DOI:10.1016/j.bspc.2007.10.003 » Abstract
Z. Ahmad, A. Tabassum, L. Guan, N. Khan: ECG heartbeat classification using multimodal fusion, IEEE Access, 9, 100615–100626 (2021). DOI:10.1109/ACCESS.2021.3097614 » Abstract
Z. Ahmad, N. Khan: Inertial Sensor Data to Image Encoding for Human Action Recognition, IEEE Sensors Journal, 21(9), 10978–10988 (2021). DOI:10.1109/JSEN.2021.3062261 » Abstract
A. Ahmadi, S. Gupta, V. Menon, J. Baudry: Linking machine learning and biophysical structural features in drug discovery, Frontiers in Molecular Biosciences, 11, 1305272 (2025). DOI:10.3389/fmolb.2024.1305272 » Abstract
M. A. Ahmed, A. S. Sharma: Basis for finding exact coherent states, Physical Review E, 101(1), 012213 (2020). DOI:10.1103/PhysRevE.101.012213 » Abstract
H. O. A. Ahmed, A. K. Nandi: Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review, Machines, 10(12), (2022). DOI:10.3390/machines10121113 » Abstract
B. Ahn, H. Nygrard, N. Worth, Z. Yang, L. Li: Longitudinal and azimuthal thermoacoustic modes in a pressurized annular combustor with bluff-body-stabilized methane-hydrogen flames, Physical Review Fluids, 9(5), 053907 (2024). DOI:10.1103/PhysRevFluids.9.053907 » Abstract
I. Aihara, S. Horai, H. Kitahata, K. Aihara, K. Yoshikawa: Dynamical calling behavior experimentally observed in Japanese tree frogs (Hyla japonica), IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, E90-A(10), 2154–2161 (2007). DOI:10.1093/ietfec/e90-a.10.2154 » Abstract
N. Aithal, C. S. Pradeep, N. Sinha: MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2024), 1–4 (2024). DOI:10.1109/ISBI56570.2024.10635716 » Abstract
R. Akash, R. Sarathi, S. Kornhuber: Classification of the Aging condition of silicone rubber insulating material using Laser Induced Breakdown Spectroscopy adopting Recurrence Plot, Proceedings of the International Symposium on Electrical Insulating Materials (ISEIM), 137–140 (2023). DOI:10.23919/ISEIM60444.2023.10329008 » Abstract
B. Akbarian, A. Erfanian: Automatic Seizure Detection Based on Nonlinear Dynamical Analysis of EEG Signals and Mutual Information, Basic and Clinical Neuroscience, 9(4), 167–180 (2018). DOI:10.32598/bcn.9.4.227 http://bcn.iums.ac.ir/article-1-923-en.html » Abstract
A. Akhavan, M. H. Moradi, S. R. Vand: Subject-based discriminative sparse representation model for detection of concealed information, Computer Methods and Programs in Biomedicine, 143, 25–33 (2017). DOI:10.1016/j.cmpb.2017.02.007 » Abstract
A. Akhavan, M. H. Moradi: Detection of Concealed Information Using Multichannel Discriminative Dictionary and Spatial Filter Learning, IEEE Transactions on Information Forensics and Security, 13(10), 2616–2627 (2018). DOI:10.1109/TIFS.2018.2825940 » Abstract
S. Akshay, E. A. Gopalakrishnan, V. Sowmya, J. Venkatramani, D. Tripathi, J. S. Prasad, S. Mondal: Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems, IEEE Access, 12, 699–726 (2024). DOI:10.1109/ACCESS.2023.3345456 » Abstract
A. Al-Bakaa, B. Al-Musawi: A new intrusion detection system based on using non-linear statistical analysis and features selection techniques, Computers & Security, 122, 102906 (2022). DOI:10.1016/j.cose.2022.102906 » Abstract
O. Al-Jarrah, K. Haloui, M. Dianati, C. Maple: A Novel Detection Approach of Unknown Cyber-Attacks for Intra-Vehicle Networks Using Recurrence Plots and Neural Networks, IEEE Open Journal of Vehicular Technology, 4, 271–280 (2023). DOI:10.1109/OJVT.2023.3237802 » Abstract
J. Al-Jindan, Y. Ahmed, M. Noui-Mehidi: Dynamical analysis of phase inversion in oil-water mixtures, Proceedings of the Abu Dhabi International Petroleum Exhibition & Conference (ADIP 2019), SPE-197882-MS (2019). DOI:10.2118/197882-MS » Abstract
B. Al-Musawi, P. Branch, G. Armitage: Detecting BGP instability using Recurrence Quantification Analysis (RQA), Proceedings of the IEEE 34th International Performance Computing and Communications Conference (IPCCC2015), 1–8 (2015). DOI:10.1109/PCCC.2015.7410340 » Abstract
B. Al-Musawi, P. Branch, G. Armitage: Recurrence Behaviour of BGP Traffic, Proceedings of the 27th International Telecommunication Networks And Applications Conference (ITNAC 2017), 363–369 (2017). DOI:10.1109/ATNAC.2017.8215376 » Abstract
B. Al-Musawi, P. Branch, M. F. Hassan, S. R. Pokhrel: Identifying OSPF LSA falsification attacks through non-linear analysis, Computer Networks, 167, 107031 (2020). DOI:10.1016/j.comnet.2019.107031 » Abstract
B. Al-Musawi, M. Hassan, S. Alturfi: RDTD: A tool for detecting internet routing disruptions at AS-level, Journal of Telecommunications and the Digital Economy, 8(2), 18–30 (2020). DOI:10.18080/jtde.v8n2.244 » Abstract
F. Al-Qershi, M. Al-Qurishi, M. S. Aksoy, M. Faisal, M. Algabri: A Time-Series-Based New Behavior Trace Model for Crowd Workers That Ensures Quality Annotation, Sensors, 21(15), 5007 (2021). DOI:10.3390/s21155007 » Abstract
M. Al-Suify, W. Al-Atabany, M. A. A. Eldosoky: Classification of right and left hand movement using phase space and recurrence quantification analysis, Proceedings of the 35th National Radio Science Conference (NRSC 2018), 457–464 (2018). DOI:10.1109/NRSC.2018.8354403 » Abstract
T. Alberti, J. Lekscha, G. Consolini, P. De, R. V. Donner: Disentangling nonlinear geomagnetic variability during magnetic storms and quiescence by timescale dependent recurrence properties, Journal of Space Weather and Space Climate, 10, 25 (2020). DOI:10.1051/swsc/2020026 » Abstract
P. Alex, S. Arumugam, K. Jayaprakash, K. S. Suraj: Order-chaos-order-chaos transition and evolution of multiple anodic double layers in glow discharge plasma, Results in Physics, 5(199), 235–240 (2015). DOI:10.1016/j.rinp.2015.08.008 » Abstract
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T. Barlyaeva, E. Bard, R. Abarca-del-Rio: Rotation of the Earth, solar activity and cosmic ray intensity, Annales Geophysicae, 32(7), 761–771 (2014). DOI:10.5194/angeo-32-761-2014 » Abstract
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K. A. Chaou, A. Mekhaldi, M. Teguar: Recurrent plot for leakage current investigation and performance monitoring of HV insulator model under discontinuous pollution, Proceedings of the International Conference on High Voltage Engineering and Application (ICHVE2014)(7035444), 1–4 (2014). DOI:10.1109/ICHVE.2014.7035444 » Abstract
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T. Chelidze, T. Matcharashvili, J. Gogiashvili, O. Lursmanashvili, M. Devidze: Phase synchronization of slip in laboratory slider system, Nonlinear Processes in Geophysics, 12(2), 163–170 (2005). DOI:10.5194/npg-12-163-2005 » Abstract
T. Chelidze, V. De Rubeis, T. Matcharashvili, P. Tosi: Influence of strong electromagnetic discharges on the dynamics of earthquakes time distribution in the Bishkek test area (Central Asia), Annals of Geophysics, 49(4–5), 961–975 (2006). DOI:10.4401/AG-3109 » Abstract
T. Chelidze, O. Lursmanashvili, T. Matcharashvili, M. Devidze: Triggering and synchronization of stick slip: Waiting times and frequency-energy distribution, Tectonophysics, 424(3–4), 139–155 (2006). DOI:10.1016/j.tecto.2006.03.031 » Abstract
T. Chelidze, T. Matcharashvili: Complexity of seismic process; measuring and applications – A review, Tectonophysics, 431(1–4), 49–60 (2007). DOI:10.1016/j.tecto.2006.05.029 » Abstract
T. Chelidze, T. Matcharashvili: Dynamical Patterns in Seismology, In: Recurrence Quantification Analysis – Theory and Best Practices, Eds.: C. L. Webber, Jr. and N. Marwan, Springer, Cham, 291–334 (2015). DOI:10.1007/978-3-319-07155-8_10 » Abstract
T. Chelidze, T. Matcharashvili, N. Varamashvili, E. Mepharidze, D. Tephnadze, Z. Chelidze: Complexity and Synchronization Analysis in Natural and Dynamically Forced Stick-Slip: A Review, In: Complexity of Seismic Time Series: Measurement and Application, Eds.: T. Chelidze and F. Vallianatos and L. Telesca, Elsevier, 275–320 (2018). DOI:10.1016/B978-0-12-813138-1.00009-2 » Abstract
T. Chelidze, T. Matcharashvili, V. Abashidze, T. Tsaguria, N. Dovgal, N. Zhukova: Complex dynamics of fault zone deformation under large dam at various time scales, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 5(4), 437–455 (2019). DOI:10.1007/s40948-019-00122-3 » Abstract
T. Chelidze, T. Matcharashvili, V. Abashidze, N. Dovgal, E. Mepharidze, L. Chelidze: Time series analysis of fault strain accumulation around large dam: The case of enguri dam, greater caucasus, In: Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions, Springer, Dordrecht, 185–204 (2021). DOI:10.1007/978-94-024-2046-3_10 » Abstract
T. Chelidze, T. Matcharashvili, E. Mepharidze, N. Dovgal: Complexity in Geophysical Time Series of Strain/Fracture at Laboratory and Large Dam Scales: Review, Entropy, 25(3), 467 (2023). DOI:10.3390/e25030467 » Abstract
J. Chen, Y. Li, D. Wang: Underwater acoustic signal processing based on recurrence plot, Harbin Gongcheng Daxue Xuebao/ Journal of Harbin Engineering University, 27(5), 649–652 (2006). » Abstract
X. Chen, Y. Qiu, Y. Zhu: Recurrence plot analysis of HRV for brain ischemia and asphyxia, Shengwu yixue gongchengxue zazhi/ Journal of biomedical engineering, 25(1), 39–43 (2008). » Abstract
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Y. Chen, H. Yang: Multiscale recurrence analysis of long-term nonlinear and nonstationary time series, Chaos, Solitons & Fractals, 45(7), 978–987 (2012). DOI:10.1016/j.chaos.2012.03.013 » Abstract
Y. Chen, H. Yang: Self-organized neural network for the quality control of 12-lead ECG signals, Physiological Measurement, 33(9), 1399–1418 (2012). DOI:10.1088/0967-3334/33/9/1399 » Abstract
L. Chen, J. Zou, J. Zhang: Dynamic feature extraction of epileptic EEG using recurrence quantification analysis, Proceedings of the 10th World Congress on Intelligent Control and Automation (WCICA2012), 5019–5022 (2012). DOI:10.1109/WCICA.2012.6359429 » Abstract
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Y. M. Chen, Y. H. Chen: Predict the Tertiary Structure of Protein with Binary Tree and Ensemble Strategy, Advanced Materials Research, 765–767, 3081–3085 (2013). DOI:10.4028/www.scientific.net/AMR.765-767.3081 » Abstract
S. Chen, Q. Meng, W. Zhou, X. Yang: Seizure Detection in Clinical EEG Based on Multi-feature Integration and SVM, Lecture Notes in Computer Science, 7996, 418–426 (2013). DOI:10.1007/978-3-642-39482-9_48 » Abstract
Y. Chen, H. Yang: Wavelet packet analysis of disease-altered recurrence dynamics in the long-term spatiotemporal vectorcardiogram (VCG) signals, Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), 2595–2598 (2013). DOI:10.1109/EMBC.2013.6610071 » Abstract
S. Chen, C. Chou, L. Tseng: Recurrence Plot Analysis of HRV for Exposure to Low-Frequency Noise, Advanced Materials Research, 1044–1045, 1251–1257 (2014). DOI:10.4028/www.scientific.net/AMR.1044-1045.1251 » Abstract
L. Chen, J. Zhang, J. Zou, C. Zhao, G. Wang: A framework on wavelet-based nonlinear features and extreme learning machine for epileptic seizure detection, Biomedical Signal Processing and Control, 10, 1–10 (2014). DOI:10.1016/j.bspc.2013.11.010 » Abstract
G. Chen, J. Xu, J. Chang: An insight into nonlinear touchdown dynamics of TFC active slider, Microsystem Technologies, 20(8–9), 1761–1766 (2014). DOI:10.1007/s00542-014-2239-z » Abstract
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L. Chen, Y. Zhao, J. Zhang, J. Zou: Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning, Expert Systems with Applications, 42(21), 7344–7355 (2015). DOI:10.1016/j.eswa.2015.05.028 » Abstract
Y. Chen, H. Yang: Heterogeneous recurrence T^2 charts for monitoring and control of nonlinear dynamic processes, Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE 2015)(7294240), 1066–1071 (2015). DOI:10.1109/CoASE.2015.7294240 » Abstract
Y. Chen, H. Yang: Heterogeneous recurrence representation and quantification of dynamic transitions in continuous nonlinear processes, European Physical Journal B, 89(6), 155 (2016). DOI:10.1140/epjb/e2016-60850-y » Abstract
C. B. Chen, H. Yang, S. Kumara: Recurrence network modeling and analysis of spatial data, Chaos, 28(8), 085714 (2018). DOI:10.1063/1.5024917 » Abstract
X. Chen, X. Pan, Z. Liu, H. Ma: Analysis of vibration signals of HUV shunt reactor based on CRP and RQA, Proceedings of the IEEE Milan PowerTech2019, 8810648 (2019). DOI:10.1109/PTC.2019.8810648 » Abstract
S. Chen, P. Shang: An adaptive method for threshold of recurrence quantification analysis based on SAX, Communications in Nonlinear Science and Numerical Simulation, 83, 105061 (2020). DOI:10.1016/j.cnsns.2019.105061 » Abstract
R. Chen, F. Imani, H. Yang: Heterogeneous Recurrence Analysis of Disease-Altered Spatiotemporal Patterns in Multi-Channel Cardiac Signals, IEEE Journal of Biomedical and Health Informatics, 24(6), 1619–1631 (2020). DOI:10.1109/JBHI.2019.2952285 » Abstract
Y. Chen, S. Su, H. Yang: Convolutional Neural Network Analysis of Recurrence Plots for Anomaly Detection, International Journal of Bifurcation and Chaos, 30(1), 2050002 (2020). DOI:10.1142/S0218127420500029 » Abstract
W. Chen, N. Takahashi, Y. Hirata, J. Ronald, S. Porco, S. Davis, D. Nusinow, S. Kay, P. Mas: A mobile ELF4 delivers circadian temperature information from shoots to roots, Nature Plants, 6(4), 416–426 (2020). DOI:10.1038/s41477-020-0634-2 » Abstract
R. Chen, P. Rao, Y. Lu, E. W. Reutzel, H. Yang: Recurrence network analysis of design-quality interactions in additive manufacturing, Additive Manufacturing, 39, 101861 (2021). DOI:10.1016/j.addma.2021.101861 » Abstract
K. Chen, X. Zhang, Z. Zhao, J. Yin, W. Zhao: Milling chatter monitoring under variable cutting conditions based on time series features, International Journal of Advanced Manufacturing Technology, 113(9–10), 2595–2613 (2021). DOI:10.1007/s00170-021-06746-8 » Abstract
S. Chen, L. Jiang, C. Pan, J. Pang, F. Xu, J. Wang, Y. Chen, K. Li: Recurrence Quantification Analysis of Cardiovascular System During Cardiopulmonary Resuscitation, Lecture Notes in Computer Science, 13628, 676–683 (2022). DOI:10.1007/978-3-031-20233-9_68 » Abstract
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S. Chen, L. Jiang, F. Xu, J. Pang, C. Pan, Y. Chen, J. Wang, K. Li: Electrical-mechanical dynamical coupling between electrocardiographic and photoplethysmographic signals during cardiopulmonary resuscitation, Computer Methods and Programs in Biomedicine, 242, 107809 (2023). DOI:10.1016/j.cmpb.2023.107809 » Abstract
C. Chen, Y. Wang, X. Fu, H. Yang: Recurrence Network Analysis of Histopathological Images for the Detection of Invasive Ductal Carcinoma in Breast Cancer, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(5), 3234–3244 (2023). DOI:10.1109/TCBB.2023.3282798 » Abstract
K. Chen, X. Zhang, W. Zhao: Automatic feature extraction for online chatter monitoring under variable milling conditions, Measurement, 210, 112558 (2023). DOI:10.1016/j.measurement.2023.112558 » Abstract
X. Chen, G. Xu, B. He, S. Zhang, Z. Su, Y. Jia, X. Zhang, Z. Zhao: Capturing synchronization with complexity measure of ordinal pattern transition network constructed by crossplot, Royal Society Open Science, 10(6), 221067 (2023). DOI:10.1098/rsos.221067 » Abstract
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Y. Chen, Z. Dong, C. Xu, J. Liu, Y. Si, T. Chen: The rapid detection method of brown tide algae concentration based on unthresholded recurrence plots and improved broad learning system, Measurement Science and Technology, 35(7), 075501 (2024). DOI:10.1088/1361-6501/ad3a87 » Abstract
Y. Chen, J. Wei, Z. Gao, W. Li, J. Wu: Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning, Structural Health Monitoring, 23(6), 3486–3504 (2024). DOI:10.1177/14759217241227600 » Abstract
Y. Chen, L. Zhu, Z. Gao, W. Li, J. Wu: Multi-bolt looseness positioning using multivariate recurrence analytic active sensing method and MHAMCNN model, Structural Health Monitoring-An International Journal, 24(2), 812–829 (2024). DOI:10.1177/14759217241243111 » Abstract
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C. Cheng, Z. Wang, W. Hung, S. T. S. Bukkapatnam, R. Komanduri: Ultra-precision Machining Process Dynamics and Surface Quality Monitoring, Procedia Manufacturing, 1, 607–618 (2016). DOI:10.1016/j.promfg.2015.09.044 » Abstract
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J. Cheng, H. Huang, W. Li: 3D Chaos Generating by 555 Timer, Proceedings of the International Conference on Communication Technology (ICCT 2022), 1551–1554 (2022). DOI:10.1109/ICCT56141.2022.10072490 » Abstract
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K. Derezinski, K. Tolpa, L. Furman, T. Rutkowski, W. Duch: Time-frequency analysis combined with recurrence quantification for classification of onset of dementia using data from the oddball BCI paradigm, Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS and ISIS 2022), (2022). DOI:10.1109/SCISISIS55246.2022.10001959 » Abstract
U. Desai, R. J. Martis, U. R. Acharya, C. G. Nayak, G. Seshikala, K. R. Shetty: Diagnosis of multiclass tachycardia beats using recurrence quantification analysis and ensemble classifiers, Journal of Mechanics in Medicine and Biology, 16(1), 1640005 (2016). DOI:10.1142/S0219519416400054 » Abstract
B. M. A. Desai, R. Sarathi: Identification and localisation of incipient discharges in transformer insulation adopting UHF technique, IEEE Transactions on Dielectrics and Electrical Insulation, 25(5), 8484906 (2018). DOI:10.1109/TDEI.2018.007294 » Abstract
U. Desai, R. Martis, R. Janapati, K. Rajesh: Coronary Artery Disease (CAD) Heart Beats Classification Using Recurrence Plots, Proceedings of the 3rd International Conference on Artificial Intelligence and Signal Processing (AISP 2023), 1–5 (2023). DOI:10.1109/AISP57993.2023.10134939 » Abstract
A. Desta, S. Ohira, I. Arai, K. Fujikawa: Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots, Vehicular Communications, 35, 100470 (2022). DOI:10.1016/j.vehcom.2022.100470 » Abstract
D. Dever, M. Amon, H. Vrzáková, M. D. Wiedbusch, E. Cloude, R. Azevedo: Capturing Sequences of Learners' Self-Regulatory Interactions With Instructional Material During Game-Based Learning Using Auto-Recurrence Quantification Analysis, Frontiers in Psychology, 13, 813677 (2022). DOI:10.3389/fpsyg.2022.813677 » Abstract
D. Dever, M. Amon, M. D. Wiedbusch, E. Cloude, R. Azevedo: Analyzing Information-Gathering Behavioral Sequences During Game-Based Learning Using Auto-recurrence Quantification Analysis, Lecture Notes in Computer Science, 13328, 60–71 (2022). DOI:10.1007/978-3-031-05657-4_5 » Abstract
D. Dever, N. A. Sonnenfeld, M. D. Wiedbusch, R. Azevedo: Pedagogical Agent Support and Its Relationship to Learners’ Self-regulated Learning Strategy Use with an Intelligent Tutoring System, Lecture Notes in Computer Science, 13355 LNCS, 332–343 (2022). DOI:10.1007/978-3-031-11644-5_27 » Abstract
D. Dever, M. D. Wiedbusch, R. Azevedo: Enhancing Learner Models for Pedagogical Agent Scaffolding of Self-Regulated Learning, Proceedings of the 30th International Conference on Computers in Education Conference (ICCE 2022), 2, 426–431 (2022). https://icce2022.apsce.net/proceedings/volume2/ » Abstract
D. A. Dever, N. A. Sonnenfeld, M. D. Wiedbusch, S. G. Schmorrow, M. J. Amon, R. Azevedo: A complex systems approach to analyzing pedagogical agents’ scaffolding of self-regulated learning within an intelligent tutoring system, Metacognition and Learning, 18, 659–691 (2023). DOI:10.1007/s11409-023-09346-x » Abstract
D. A. Dever, M. D. Wiedbusch, R. Azevedo: Analytical Approaches for Examining Learners’ Emerging Self-regulated Learning Complex Behaviors with an Intelligent Tutoring System, Lecture Notes in Computer Science, 14727, 116–129 (2024). DOI:10.1007/978-3-031-60609-0_9 » Abstract
D. Dever, M. D. Wiedbusch, R. Azevedo: Tracing Emerging Complexity of Scientific Reasoning Actions During Game-Based Learning, Lecture Notes in Computer Science, 15259, 196–210 (2025). DOI:10.1007/978-3-031-74138-8_15 » Abstract
S. Devlin, J. Flynn, S. Riggs: How shared visual attention patterns of pairs unfold over time when workload changes, Proceedings of the ACM Symposium on Eye Tracking Research and Applications (ETRA 2020)(41), 1–5 (2020). DOI:10.1145/3379156.3391339 » Abstract
R. Di, M. Rizzi, F. Moro, I. Lisi, A. Caccamo, T. Ravizza, A. Vezzani, E. Zanier: ECoG spiking activity and signal dimension are early predictive measures of epileptogenesis in a translational mouse model of traumatic brain injury, Neurobiology of Disease, 185, 106251 (2023). DOI:10.1016/j.nbd.2023.106251 » Abstract
C. Di, T. Wang, Q. Han, M. Mai, L. Wang, X. Chen: Complexity and Predictability of Daily Actual Evapotranspiration Across Climate Regimes, Water Resources Research, 59(4), e2022WR032811 (2023). DOI:10.1029/2022WR032811 » Abstract
i. F. Di, A. R. G. Castro: Intra- and Interpatient ECG Heartbeat Classification Based on Multimodal Convolutional Neural Networks with an Adaptive Attention Mechanism, Applied Sciences, 14(20), 9307 (2024). DOI:10.3390/app14209307 » Abstract
L. Y. Di Marco, D. Raine, J. P. Bourke, P. Langley: Characteristics of atrial fibrillation cycle length predict restoration of sinus rhythm by catheter ablation, Heart Rhythm, 10(9), 1303–1310 (2013). DOI:10.1016/j.hrthm.2013.06.007 » Abstract
L. Y. Di Marco, D. Raine, J. P. Bourke, P. Langley: Recurring patterns of atrial fibrillation in surface ECG predict restoration of sinus rhythm by catheter ablation, Computers in Biology and Medicine, 54, 172–179 (2014). DOI:10.1016/j.compbiomed.2014.09.005 » Abstract
L. Y. Di Marco, C. Di Maria, W.-C. Tong, M. J. Taggart, S. C. Robson, P. Langley: Recurring patterns in stationary intervals of abdominal uterine electromyograms during gestation, Medical & Biological Engineering & Computing, 52(8), 707–716 (2014). DOI:10.1007/s11517-014-1174-6 » Abstract
S. Dia, S. Fontaine, M. Renner: Recurrence plots for determinism analysis of a blade-disk tribometer, Society for Experimental Mechanics – SEM Annual Conference and Exposition on Experimental and Applied Mechanics 2009, 1, 574–580 (2009). DOI:10.1111/j.1747-1567.2010.00690.x » Abstract
S. Dia, S. Fontaine, M. Renner: Using recurrence plots for determinism analysis of blade-disk tribometer, Experimental Techniques, 36(1), 26–33 (2012). DOI:10.1111/j.1747-1567.2010.00690.x » Abstract
F. Diaconescu: Impulse Radio UWB blind detection using Cross Recurrence Plot, Proceedings of the 13th International Conference on Communications (COMM 2020), 397–400 (2020). DOI:10.1109/COMM48946.2020.9141986 » Abstract
C. Diao, S. A. Arboleda, A. Raake: Effects of Delay on Nonverbal Behavior and Interpersonal Coordination in Video Conferencing, Proceedings of the IEEE 26th International Workshop on Multimedia Signal Processing (MMSP 2024), 1–6 (2024). DOI:10.1109/MMSP61759.2024.10743300 » Abstract
D. Dias, U. Dias, N. Menini, R. Lamparelli, G. Maire, R. Torres: Pixelwise Remote Sensing Image Classification Based on Recurrence Plot Deep Features, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS 2019), 1310–1313 (2019). DOI:10.1109/IGARSS.2019.8898128 » Abstract
D. Dias, A. Pinto, U. Dias, R. Lamparelli, G. Le, R. Torres: A Multirepresentational Fusion of Time Series for Pixelwise Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4399–4409 (2020). DOI:10.1109/JSTARS.2020.3012117 » Abstract
R. Dias, R. Hoshi, L. C. M. Vanderlei, C. Monteiro, M. Alvarez, T. Crocetta, L. Grossklauss, D. Fernani, M. Dantas, F. Martins, D. Garner, L. Abreu, C. Ferreira, T. Silva: Influence of different types of corticosteroids on heart rate variability of individuals with duchenne muscular dystrophy—a pilot cross sectional study, Life, 11(8), 752 (2021). DOI:10.3390/life11080752 » Abstract
O. E. Dick, A. D. Nozdrachev: Features of parkinsonian and essential tremor of the human hand, Human Physiology, 42(3), 271–278 (2016). DOI:10.1134/S0362119716030063 » Abstract
O. E. Dick: From healthy to pathology through a fall in dynamical complexity of involuntary oscillations of the human hand, Neurocomputing, 243, 142–154 (2017). DOI:10.1016/j.neucom.2017.03.008 » Abstract
O. E. Dick, I. A. Svyatogor, A. D. Nozdrachev, N. L. Guseva: Analysis of the reactive patterns of eegs under atrial fibrillation, Human Physiology, 45(1), 40–53 (2019). DOI:10.1134/S0362119719010055 » Abstract
O. E. Dick, I. A. Svyatogor, T. Reznikova, D. Fedoryaka, A. D. Nozdrachev: Analysis of EEG Patterns in Subjects with Panic Attacks, Human Physiology, 46(2), 163–174 (2020). DOI:10.1134/S0362119720010065 » Abstract
O. E. Dick: Wavelet and recurrence analysis of eeg patterns of subjects with panic attacks, In: Studies in Computational Intelligence, Advances in Neural Computation, Machine Learning, and Cognitive Research III, NEUROINFORMATICS 2019, 856, 172–180 (2020). DOI:10.1007/978-3-030-30425-6_20 » Abstract
O. E. Dick, A. Glazov: Estimation of the synchronization between intermittent photic stimulation and brain response in hypertension disease by the recurrence and synchrosqueezed wavelet transform, Neurocomputing, 455, 163–177 (2021). DOI:10.1016/j.neucom.2021.05.038 » Abstract
O. E. Dick, A. D. Nozdrachev: Application of Methods of Wavelet and Recurrent Analysis to Studies of Bioelectrical Activity of the Brain in Moderate Cognitive Impairment, Human Physiology, 48(2), 182–193 (2022). DOI:10.1134/S0362119722020050 » Abstract
O. E. Dick: Dynamics of Brain Electrical Activity Patterns in Maladaptive Disorders, Neuroscience and Behavioral Physiology, 52(9), 1491–1505 (2022). DOI:10.1007/s11055-023-01380-1 » Abstract
O. E. Dick, A. Glazov: Application of Joint Recurrence Analysis for Estimating Phase Synchronization of Physiological Signals, Technical Physics, 67, 48–60 (2022). DOI:10.1134/S1063784222010030 » Abstract
O. E. Dick: Dynamics of Patterns of Electric Brain Activity for Deadaptation Disorders, Uspekhi Fiziologicheskikh Nauk, 53(1), 34–51 (2022). DOI:10.31857/S0301179822010040 » Abstract
O. E. Dick: Analysis of the Relationship between Activity of the Reticular Formation of the Medulla Oblongata and the Respiratory and Cardiovascular Systems in Rats under Painful Stimulation, Biophysics, 68(6), 1013–1020 (2023). DOI:10.1134/S0006350923060064 » Abstract
O. E. Dick, A. Glazov: Revealing the coupling directionality and synchronization between time series from physiological data by analysis of joint recurrences, Chaos, Solitons & Fractals, 173, 113768 (2023). DOI:10.1016/j.chaos.2023.113768 » Abstract
O. E. Dick: Search for Markers of Moderate Cognitive Disorders Through Phase Synchronization Between Rhythmic Photostimulus and EEG Pattern, Studies in Computational Intelligence, 1064, 191–199 (2023). DOI:10.1007/978-3-031-19032-2_19 » Abstract
O. E. Dick: Analysis of the Relationship between Moderate Cognitive Impairments and Changes in Synchronization between Photostimulation and Brain Activity, Neuroscience and Behavioral Physiology, 54(5), 726–736 (2024). DOI:10.1007/s11055-024-01653-3 » Abstract
O. E. Dick, O. A. Lyubashina: Comparative pairwise analysis of the relationships between physiological rhythms using synchrosqueezed wavelet transform, phase dynamics modelling and recurrence, Nonlinear Dynamics, 112, 19825–19848 (2024). DOI:10.1007/s11071-024-10089-w » Abstract
P. Diderichsen: Cross recurrence quantification analysis of indefinite anaphora in Swedish dialog : an eye-tracking pilot experiment, Proceedings of the 10th workshop on the semantics and pragmatics of dialogue (brandial 2006), 98–105 (2006). URN:nbn:de:kobv:517-opus-10484 » Abstract
J. L. Dideriksen, D. Falla, M. Bækgaard, M. L. Mogensen, K. L. Steimle, D. Farina: Comparison between the degree of motor unit short-term synchronization and recurrence quantification analysis of the surface EMG in two human muscles, Clinical Neurophysiology, 120(12), 2086–2092 (2009). DOI:10.1016/j.clinph.2009.09.011 » Abstract
J. L. Dideriksen, L. Gizzi, F. Petzke, D. Falla: Deterministic accessory spinal movement in functional tasks characterizes individuals with low back pain, Clinical Neurophysiology, 125(8), 1663–1668 (2014). DOI:10.1016/j.clinph.2013.11.037 » Abstract
A. Digulescu, C. Bernard, E. Lungu, I. Candel, C. Ioana, G. Vasile: Transient signal characterization using multi-lag phase space analysis, Proceedings of the IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS2015)(7360411), 1–5 (2015). DOI:10.1109/COMCAS.2015.7360411 » Abstract
A. Digulescu, I. Murgan, C. Ioana, I. Candel, A. Serbanescu: Applications of Transient Signal Analysis Using the Concept of Recurrence Plot Analysis, In: Recurrence Plots and Their Quantifications: Expanding Horizons, Eds.: C. L. Webber, Jr. and C. Ioana and N. Marwan, Springer, Cham, 19–38 (2016). DOI:10.1007/978-3-319-29922-8_2 » Abstract
A. Digulescu, I. Murgan, I. Candel, F. Bunea, G. Ciocan, D. M. Bucur, G. Dunca, C. Ioana, G. Vasile, A. Serbanescu: Cavitating vortex characterization based on acoustic signal detection, IOP Conference Series: Earth and Environmental Science, 49(8), 082009 (2016). DOI:10.1088/1755-1315/49/8/082009 » Abstract
A. Digulescu, C. Bernard, E. Lungu, I. Candel, C. Ioana: High-speed sensing for object detection in underwater bi-static acoustic paths, Proceedings of the OCEANS 2015, 7401962 (2016). DOI:10.23919/OCEANS.2015.7401962 » Abstract
A. Digulescu, C. Ioana, A. Serbanescu: Phase Diagram-Based Sensing with Adaptive Waveform Design and Recurrent States Quantification for the Instantaneous Frequency Law Tracking, Sensors, 19(11), 2434 (2019). DOI:10.3390/s19112434 » Abstract
A. Digulescu, C. Despina-Stoian, D. Stanescu, F. Popescu, F. Enache, C. Ioana, E. Ruadoi, I. R^incu, A. Serbanescu: New approach of UAV movement detection and characterization using advanced signal processing methods based on UWB sensing, Sensors, 20(20), 1–18 (2020). DOI:10.3390/s20205904 » Abstract
M. Dijk: A complex dynamical systems approach to the development of feeding problems in early childhood, Appetite, 157, 104982 (2021). DOI:10.1016/j.appet.2020.104982 » Abstract
M. Dijk, G. Leonardi, D. Pérez, J. Rkaczkaszek-Leonardi: Co-regulation of movements during infant feeding, Infant Behavior and Development, 69, 101755 (2022). DOI:10.1016/j.infbeh.2022.101755 » Abstract
M. Dijk, W. Lowie, N. Smit, M. Verspoor, P. Geert: Complex dynamic systems theory as a foundation for process-oriented research on second language development, Second Language Research, , (in press). DOI:10.1177/02676583241246739 » Abstract
G. M. Dimitri, S. Agrawal, A. Young, J. Donnelly, X. Liu, P. Smielewski, P. Hutchinson, M. Czosnyka, P. Lio, C. Haubrich: Simultaneous transients of intracranial pressure and heart rate in traumatic brain injury: Methods of analysis, In: Acta Neurochirurgica Supplement, 126, Eds.: T. Heldt, Springer, Cham, 147–151 (2018). DOI:10.1007/978-3-319-65798-1_31 » Abstract
D. A. Dimitriev, E. V. Saperova, A. Dimitriev, Y. Karpenko: Recurrence Quantification Analysis of Heart Rate During Mental Arithmetic Stress in Young Females, Frontiers in Physiology, 11, 40 (2020). DOI:10.3389/fphys.2020.00040 » Abstract
D. A. Dimitriev, O. Indeykina, A. Dimitriev: The Effect of Auditory Stimulation on the Nonlinear Dynamics of Heart Rate: The Impact of Emotional Valence and Arousal, Noise and Health, 25(118), 165–175 (2023). DOI:10.4103/nah.nah_15_22 » Abstract
M. Dindar, I. Alikhani, J. Malmberg, S. Jarvela, T. Seppanen: Examining shared monitoring in collaborative learning: A case of a recurrence quantification analysis approach, Computers in Human Behavior, 100, 335–344 (2019). DOI:10.1016/j.chb.2019.03.004 » Abstract
M. Dindar, S. Järvelä, E. Haataja: What does physiological synchrony reveal about metacognitive experiences and group performance?, British Journal of Educational Technology, 51(5), 1577–1596 (2020). DOI:10.1111/bjet.12981 » Abstract
M. Dindar, S. Jarvela, S. Ahola, X. Huang, G. Zhao: Leaders and Followers Identified by Emotional Mimicry During Collaborative Learning: A Facial Expression Recognition Study on Emotional Valence, IEEE Transactions on Affective Computing, 13(3), 1390–1400 (2022). DOI:10.1109/TAFFC.2020.3003243 » Abstract
M. Dindar, E. B. Cloude, K. Kiili: An Experimental Study of Facial Expressions in Collaborative Teams that Quit a Game-Based Learning Task: Within-Team Competition vs. No Within-Team Competition, Lecture Notes in Computer Science, 15159, 105–119 (2024). DOI:10.1007/978-3-031-72315-5_8 » Abstract
H. Ding, S. Crozier, S. J. Wilson: A New Heart Rate Variability Analysis Method by Means of Quantifying the Variation of Nonlinear Dynamic Patterns, IEEE Transactions on Biomedical Engineering, 54(9), 1590–1597 (2007). DOI:10.1109/TBME.2007.893495 » Abstract
H. Ding, S. Crozier, S. J. Wilson: Optimization of Euclidean distance threshold in the application of recurrence quantification analysis to heart rate variability studies, Chaos, Solitons & Fractals, 38(5), 1457–1467 (2008). DOI:10.1016/j.chaos.2006.07.059 » Abstract
X.-R. Ding, X.-M. Guo, L.-S. Zhong: Nonlinear dynamic analysis of heart sound signals based on chaos theory, Zhendong yu Chongji/ Journal of Vibration and Shock, 31(15), 55–59 (2012). http://www.scopus.com/inward/record.url?eid=2-s2.0-84867187844&partnerID=40&md5=9ae661b273ac031c955d348ff7badf92 » Abstract
H. Ding: Characterization of local complex structures in a recurrence plot to improve nonlinear dynamic discriminant analysis, Physical Review E, 89(1), 013313 (2014). DOI:10.1103/PhysRevE.89.013313 » Abstract
S.-L. Ding, L.-P. Yang, E.-Z. Song, X.-Z. Ma: Investigations on In-Cylinder Pressure Cycle-to-Cycle Variations in a Diesel Engine by Recurrence Analysis, SAE Technical Papers, 2015-01-0875 (2015). DOI:10.4271/2015-01-0875 » Abstract
Y. Ding, N. Xiong, E. He, K. Li: Secure communication scheme analysis via complex networks, Concurrency and Computation, 29(24), e4282 (2017). DOI:10.1002/cpe.4282 » Abstract
C. Ding, H. Zhu, G. D. Sun, Y. Jiang, C. L. Wei: Dynamic States Recognition of Friction Noise in the Wear Process Based on Moving Cut Data-Approximate Entropy, Journal of Tribology, 140(5), 051604 (2018). DOI:10.1115/1.4039525 » Abstract
C. Ding, H. Zhu, Y. Jiang, G. D. Sun, C. L. Wei: Recursive Characteristics of a Running-in Attractor in a Ring-on-Disk Tribosystem, Transactions of the ASME Journal of Tribology, 141(1), 011604 (2019). DOI:10.1115/1.4041018 » Abstract
C. Ding, C. Gong, X. Liu, H. Wang, J. Li, Z. Cai, Z. Xing, Z. Piao: Influence of Ultrasonic Burnishing on Dynamic Behaviors of the Al7075 Alloy Friction System Studied by Recurrence Analysis, International Journal of Bifurcation and Chaos, 34(12), 2450145 (2024). DOI:10.1142/S0218127424501451 » Abstract
J. B. Dingwell, J. P. Cusumano: Nonlinear time series analysis of normal and pathological human walking, Chaos, 10(4), 848–863 (2000). DOI:10.1063/1.1324008 » Abstract
N. Diodato, G. Bellocchi: Long-term winter temperatures in central Mediterranean: forecast skill of an ensemble statistical model, Theoretical and Applied Climatology, 116(1–2), 131–146 (2014). DOI:10.1007/s00704-013-0915-z » Abstract
J. W. Dippner, R. Heerkloss, J. P. Zbilut: Recurrence quantification analysis as a tool for characterization of non-linear mesocosm dynamics, Marine Ecology Progress Series, 242, 29–37 (2002). DOI:10.3354/meps242029 » Abstract
J. A. Dixon, D. G. Stephen, R. A. Boncoddo, J. Anastas: The Self-Organization of Cognitive Structure, Psychology of Learning and Motivation, 52, 343–384 (2010). DOI:10.1016/S0079-7421(10)52009-7 » Abstract
R. Djemili, I. Djemili: Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection, Computer Methods in Biomechanics and Biomedical Engineering, 27(15), 2091–2110 (2024). DOI:10.1080/10255842.2023.2271603 » Abstract
K. Doba, L. Pezard, J. Nandrino: How do maternal emotional regulation difficulties modulate the mother–infant behavioral synchrony?, Infancy, 27(3), 582–608 (2022). DOI:10.1111/infa.12461 » Abstract
E. Doheny, C. Goulding, M. Flood, L. McManus, M. Lowery: Feature-Based Evaluation of a Wearable Surface EMG Sensor against Laboratory Standard EMG during Force-Varying and Fatiguing Contractions, IEEE Sensors Journal, 20(5), 2757–2765 (2020). DOI:10.1109/JSEN.2019.2953354 » Abstract
A. Dolai, S. Pramanik, P. Badhuk, R. Ravikrishna: Nonlinear Dynamic Analysis of the Transition from MILD Regime to Thermoacoustic Instability in a Reverse Flow Combustor, Combustion Science and Technology, 196(6), 868–891 (2024). DOI:10.1080/00102202.2022.2104608 » Abstract
A. Dolai, R. Ravikrishna: Influence of momentum ratio on heat release rate and noise of co/counter-swirl non-premixed diluted CO/H2 flames, Experimental Thermal and Fluid Science, 161, 111336 (2025). DOI:10.1016/j.expthermflusci.2024.111336 » Abstract
G. A. Dolenko, D. A. Manovytska, E. A. Viniarska: Investigation of Statistical and Dynamic Features of Currency Fluctuations of the Ukrainian Hryvnia to the US Dollar, Journal of Automation and Information Sciences, 50(9), 76–86 (2018). DOI:10.1615/JAutomatInfScien.v50.i9.60 » Abstract
E. Domany: Protein folding in contact map space, Physica A, 288(1–4), 1–9 (2000). DOI:10.1016/S0378-4371(00)00410-6 » Abstract
J. Donath: Untersuchung alternativer Zeitfensterformen für die quantitative Rekurrenzanalyse anhand von Modellsystemen und Klimadaten, Bachelor Thesis, (2016).
J. Donath: Recurrence quantification analysis of probabilistic recurrence plots, Masters Thesis, (2019). » Abstract
Z. Dong, X. Li, W. Chen: Frequency Network Analysis of Heart Rate Variability for Obstructive Apnea Patient Detection, IEEE Journal of Biomedical and Health Informatics, 22(6), 1895–1905 (2018). DOI:10.1109/JBHI.2017.2784415 » Abstract
F. Dong, S. Chen, K. Demachi, M. Yoshikawa, A. Seki, S. Takaya: Attention-based time series analysis for data-driven anomaly detection in nuclear power plants, Nuclear Engineering and Design, 404, 112161 (2023). DOI:10.1016/j.nucengdes.2023.112161 » Abstract
Y. Dong, J. Zhang, C. O'Malley: On-line Process Fault Diagnosis through Integration of Recurrence Plots and Convolutional Neural Network, Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications (ICIEA 2023), , 1815–1820 (2023). DOI:10.1109/ICIEA58696.2023.10241391 » Abstract
Y. Dong, J. Zhang, C. O'Malley: Online Process Monitoring through Integration of Joint Recurrence Plot and Convolutional Neural Networks, Computer Aided Chemical Engineering, 53, 1627–1632 (2024). DOI:10.1016/B978-0-443-28824-1.50272-6 » Abstract
Y. Dong, J. Zhang, C. O'Malley: Online Process Fault Diagnosis through Integration of Principal Component Analysis, Modified Recurrence Plot, and Convolutional Neural Networks, Proceedings of the 29th International Conference on Automation and Computing (ICAC 2024), 1–6 (2024). DOI:10.1109/ICAC61394.2024.10718837 » Abstract
J. F. Donges, R. V. Donner, K. Rehfeld, N. Marwan, M. H. Trauth, J. Kurths: Identification of dynamical transitions in marine palaeoclimate records by recurrence network analysis, Nonlinear Processes in Geophysics, 18, 545–562 (2011). DOI:10.5194/npg-18-545-2011 » Abstract
J. F. Donges, R. V. Donner, M. H. Trauth, N. Marwan, H. J. Schellnhuber, J. Kurths: Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution, Proceedings of the National Academy of Sciences, 108(51), 20422–20427 (2011). DOI:10.1073/pnas.1117052108 » Abstract
J. F. Donges, J. Heitzig, R. V. Donner, J. Kurths: Analytical framework for recurrence network analysis of time series, Physical Review E, 85, 046105 (2012). DOI:10.1103/PhysRevE.85.046105 » Abstract
J. F. Donges, J. Heitzig, B. Beronov, M. Wiedermann, J. Runge, Q. Y. Feng, L. Tupikina, V. Stolbova, R. V. Donner, N. Marwan, H. A. Dijkstra, J. Kurths: Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package, Chaos, 25, 113101 (2015). DOI:10.1063/1.4934554
J. F. Donges, R. V. Donner, N. Marwan, S. F. M. Breitenbach, K. Rehfeld, J. Kurths: Non-linear regime shifts in Holocene Asian monsoon variability: potential impacts on cultural change and migratory patterns, Climate of the Past, 11, 709–741 (2015). DOI:10.5194/cp-11-709-2015 » Abstract
R. V. Donner, M. Thiel: Scale-resolved phase coherence analysis of hemispheric sunspot activity: a new look at the north-south asymmetry, Astronomy & Astrophysics, 475(3), L33–L36 (2007). DOI:10.1051/0004-6361:20078672 » Abstract
R. V. Donner, U. Hinrichs, B. Scholz-Reiter: Symbolic recurrence plots: A new quantitative framework for performance analysis of manufacturing networks, European Physical Journal – Special Topics, 164(1), 85–104 (2008). DOI:10.1140/epjst/e2008-00836-2 » Abstract
R. V. Donner, B. Scholz-Reiter, U. Hinrichs: Nonlinear characterization of the performance of production and logistics networks, Journal of Manufacturing Systems, 27(2), 84–99 (2008). DOI:10.1016/j.jmsy.2008.10.001 » Abstract
R. V. Donner: Phase Coherence Analysis of Decadal-Scale Sunspot Activity on Both Solar Hemispheres, Lecture Notes in Earth Sciences, 112, 355–385 (2008). DOI:10.1007/978-3-540-78938-3_16 » Abstract
R. V. Donner: Emergence of Synchronization in Transportation Networks with Biologically Inspired Decentralized Control, Studies in Computational Intelligence, 254, 237–275 (2009). DOI:10.1007/978-3-642-04227-0_8 » Abstract
R. V. Donner, Y. Zou, J. F. Donges, N. Marwan, J. Kurths: Recurrence networks – A novel paradigm for nonlinear time series analysis, New Journal of Physics, 12(3), 033025 (2010). DOI:10.1088/1367-2630/12/3/033025
Listed as Best of 2010 in the New Journal of Physics » Abstract
R. V. Donner, Y. Zou, J. F. Donges, N. Marwan, J. Kurths: Ambiguities in recurrence-based complex network representations of time series, Physical Review E, 81, 015101(R) (2010). DOI:10.1103/PhysRevE.81.015101 » Abstract
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K. J. Li, P. X. Gao, L. S. Zhan: Synchronization of Sunspot Numbers and Sunspot Areas, Solar Physics, 255(2), 289–300 (2009). DOI:10.1007/s11207-009-9328-7 » Abstract
K. J. Li, P. X. Gao, L. S. Zhan: Synchronization of Hemispheric Sunspot Activity Revisited: Wavelet Transform Analyses, The Astrophysical Journal, 691(1), 537–546 (2009). DOI:10.1088/0004-637X/691/1/537 » Abstract
K. Li, D. J. Hewson, H. Snoussi, J. Duchêne, J.-Y. Hogrel: Recurrence quantification analysis of sustained sub-maximal grip contractions in patients with various metabolic muscle disorders, Biomedical Signal Processing and Control, 6(1), 70–76 (2011). DOI:10.1016/j.bspc.2010.10.001 » Abstract
S. Li, Z. Zhao, Y. Wang, Y. Wang: Identifying spatial patterns of synchronization between NDVI and climatic determinants using joint recurrence plots, Environmental Earth Sciences, 64(3), 851–859 (2011). DOI:10.1007/s12665-011-0909-z » Abstract
Y.-W. Li, N. Xie, L.-F. Kong: Chaotic Recurrence Analysis of Oil-Gas-Water Three-phase Flow in Vertical Upward Pipe, Information Technology Journal, 10(12), 2350–2356 (2011). DOI:10.3923/itj.2011.2350.2356 » Abstract
K. Li, D. J. Hewson, J. Duchêne, J.-Y. Hogrel: Recurrence quantification analysis of age effects on sustained sub-maximal grip contractions, Proceedings of the 4th International Conference on Biomedical Engineering and Informatics (BMEI 2011), 2, 836–840 (2011). DOI:10.1109/BMEI.2011.6098453 » Abstract
K. Li, Z.-M. Li: Cross recurrence quantification analysis of precision grip following peripheral median nerve block, Journal of NeuroEngineering and Rehabilitation, 10, 28 (2013). DOI:10.1186/1743-0003-10-28 » Abstract
P. Li, K. Li, C. Liu, D. Zheng, Z. Li, C. Liu: Detection of Coupling in Short Physiological Series by a Joint Distribution Entropy Method, IEEE Transactions on Biomedical Engineering, 63(11), 2231–2242 (2016). DOI:10.1109/TBME.2016.2515543 » Abstract
K. Li, N. Wei, S. Yue: Recurrence-based phase synchronization analysis of digit kinetic signals during precision grip, Proceedings of the 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016)(7852994), 1722–1726 (2016). DOI:10.1109/CISP-BMEI.2016.7852994 » Abstract
L. Li, Y. Xiao, B. Zheng, L. Song: Method for analysis of non-stationarity of fluctuating winds based on revised local recurrence rate, Xinan Jiaotong Daxue Xuebao/ Journal of Southwest Jiaotong University, 51(1), 65–70 (2016). DOI:10.3969/j.issn.0258-2724.2016.01.010 » Abstract
J. Li, J.-T. Tang, H. Yan, D.-X. Peng, Z.-M. Xu: Identification and spearation of magnetotelluric signal and noise based on recurrence analysis and clustering, Chinese Journal of Geophysics, 60(5), 1918–1936 (2017). DOI:10.6038/cjg20170525 » Abstract
H. W. Li, T. Wang, C. Chang, B. Sun, W. P. Hong, Y. L. Zhou: Multi-scale nonlinear analysis of drying dynamics in the mixed pulsed drying fluidized beds, Powder Technology, 339, 958–969 (2018). DOI:10.1016/j.powtec.2018.08.078 » Abstract
C. Li, N. Ye, H. Huang, R. Wang, R. Malekian: Emotion recognition of human physiological signals based on recursive quantitative analysis, Proceedings of the 10th International Conference on Advanced Computational Intelligence (ICACI 2018), 217–223 (2018). DOI:10.1109/ICACI.2018.8377609 » Abstract
J. P. Li, K. Li, N. Wei: Recurrence Quantification Analysis of Age-related Changes in Postural Fluctuations during Quiet Standing on a Slope, Proceedings of the 11th International Congress on Image and Signal Processing (CISP-BMEI 2018), 1–5 (2018). DOI:10.1109/CISP-BMEI.2018.8633264 » Abstract
K. Li, N. Wei, M. Cheng, X. G. Hou, J. Song: Dynamical Coordination of Hand Intrinsic Muscles for Precision Grip in Diabetes Mellitus, Scientific Reports, 8, 4365 (2018). DOI:10.1038/s41598-018-22588-z » Abstract
H. Li, Y. Wang, W. Hong, B. Sun: Experiment on thermodynamic characteristics of parallel mini-channel tube' dryout, Beijing Hangkong Hangtian Daxue Xuebao/ Journal of Beijing University of Aeronautics and Astronautics, 45(8), 1495–1503 (2019). DOI:10.13700/j.bh.1001-5965.2018.0633 » Abstract
Z. Li, D. Cai, J. Wang, Y. Li, G. Gui, X. Sun, N. Wang, J. Zhang, H. Liu, G. Wang: Machine learning based dynamic correlation on marine environmental data using cross-recurrence strategy, IEEE Access, 7, 185121–185130 (2019). DOI:10.1109/ACCESS.2019.2960764 » Abstract
X. Li, A. M. H. Tiong, L. Cao, W. Lai, P. T. Phan, S. J. Phee: Deep learning for haptic feedback of flexible endoscopic robot without prior knowledge on sheath configuration, International Journal of Mechanical Sciences, 163, 105129 (2019). DOI:10.1016/j.ijmecsci.2019.105129 » Abstract
J. Li, N. Wei, S. Yue, Y. Zhang, K. Li: Analysis of Standing Balance on Sloped Surfaces in Individuals with Lumbar Disc Herniation, Proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), 5092–5095 (2019). DOI:10.1109/EMBC.2019.8857918 » Abstract
L. Li, K. Zhang, N. Zhang: Cross recurrence quantification analysis of ECG and EPCG in patients with coronary artery disease and healthy old subjects, Proceedings of the 3rd International Conference on Biological Information and Biomedical Engineering (BIBE 2019), 92–95 (2019). https://ieeexplore.ieee.org/document/8903342 » Abstract
H.-W. Li, Y.-C. Wang, W.-P. Hong, B. Sun, Y.-L. Zhou: Analysis of parallel mini-channels' complex flow boiling and dryout dynamics based on the pressure drop signals, Experimental Thermal and Fluid Science, 110, 109944 (2020). DOI:10.1016/j.expthermflusci.2019.109944 » Abstract
X. Li, Y. Kang, F. Li: Forecasting with time series imaging, Expert Systems with Applications, 160, 113680 (2020). DOI:10.1016/j.eswa.2020.113680 » Abstract
Y. Li, D. Cai, J. Wang, X. Sun, Z. Li, H. Zhang, N. Wang: Recurrence behavior statistics of blast furnace gas sensor data in industrial internet of things, IEEE Internet of Things Journal, 7(6), 5666–5676 (2020). DOI:10.1109/JIOT.2020.2980617 » Abstract
J. Li, N. Wei, S. Yue, K. Li: Multidimensional Recurrence Quantification Analysis of Multi-muscle Synergy in Elderly during Standing on Slopes, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2020), 2020-July, 3114–3117 (2020). DOI:10.1109/EMBC44109.2020.9175698 » Abstract
X. Li, T. Li, Y. Wang: Gw-dc: A deep clustering model leveraging two-dimensional image transformation and enhancement, Algorithms, 14(12), 349 (2021). DOI:10.3390/a14120349 » Abstract
B. Li, C. Delpha, A. Migan-Dubois, D. Diallo: Fault diagnosis of photovoltaic panels using full I-V characteristics and machine learning techniques, Energy Conversion and Management, 248, 114785 (2021). DOI:10.1016/j.enconman.2021.114785 » Abstract
S. Li, M. Zacharias, J. Snuverink, J. Portugal, F. Perez-Cruz, D. Reggiani, A. Adelmann: A novel approach for classification and forecasting of time series in particle accelerators, Information, 12(3), 121 (2021). DOI:10.3390/info12030121 » Abstract
J. Li, Q. Wang, Y. Zhang: Energy efficiency analysis and state monitoring of machining processes in mixed flow production mode based on recurrence analysis, Jisuanji Jicheng Zhizao Xitong/ Computer Integrated Manufacturing Systems, CIMS, 27(5), 1341–1350 (2021). DOI:10.13196/j.cims.2021.05.010 » Abstract
J. Li, Q. Wang, Y. Zhang: Energy efficiency analysis and state monitoring of machining processes in mixed flow production mode based on recurrence analysis, Jisuanji Jicheng Zhizao Xitong/ Computer Integrated Manufacturing Systems, CIMS, 27(5), 1341–1350 (2021). DOI:10.13196/j.cims.2021.05.010 » Abstract
D. Li, Z. Liang, W. Ren, D. Yang, S. Wang, S. Xiang: Structural damage identification under nonstationary excitations through recurrence plot and multi-label convolutional neural network, Measurement, 186, 110101 (2021). DOI:10.1016/j.measurement.2021.110101 » Abstract
S. Li, J. Zheng, S. P. Lajoie: Temporal Structures and Sequential Patterns of Self-regulated Learning Behaviors in Problem Solving with an Intelligent Tutoring System, Educational Technology & Society, 25(4), 1–14 (2022). https://www.jstor.org/stable/48695977 » Abstract
X. Li, T. Zhou, S. Qiu: Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network, Frontiers in Aging Neuroscience, 14, 888577 (2022). DOI:10.3389/fnagi.2022.888577 » Abstract
G. Li, S. Wu, H. Zhao, W. Guan, Y. Zhou, B. Shi: Non-invasive prognostic biomarker of lung cancer patients with brain metastases: Recurrence quantification analysis of heart rate variability, Frontiers in Physiology, 13, 987835 (2022). DOI:10.3389/fphys.2022.987835 » Abstract
Y. Li, Z. Li: Research on Recurrence Plot Feature Quantization Method Based on Image Texture Analysis, Journal of Environmental and Public Health, 2022, 2495024 (2022). DOI:10.1155/2022/2495024 » Abstract
S. Li, J. Zheng, X. Huang, C. Xie: Self-regulated learning as a complex dynamical system: Examining students' STEM learning in a simulation environment, Learning and Individual Differences, 95, 102144 (2022). DOI:10.1016/j.lindif.2022.102144 » Abstract
J. Li, M. Casillas, S. Tsuji, Y. Nagai: Multi-scale analysis of vocal coordination in infant-caregiver daily interaction, Proceedings of the IEEE International Conference on Development and Learning (ICDL 2022), 164–169 (2022). DOI:10.1109/ICDL53763.2022.9962234 » Abstract
X. Li, Y. Zhang, P. Tiwari, D. Song, B. Hu, M. Yang, Z. Zhao, N. Kumar, P. Marttinen: EEG Based Emotion Recognition: A Tutorial and Review, ACM Computing Surveys, 55(4), 79 (2023). DOI:10.1145/3524499 » Abstract
N. Li, J. Yu, X. Mao, Y. Zhao, L. Huang: The nonlinearity properties of pulse signal of pregnancy in the three trimesters, Biomedical Signal Processing and Control, 79, 104158 (2023). DOI:10.1016/j.bspc.2022.104158 » Abstract
Z. Li, T. Sun, Y. Wang, Y. Liu, X. Sun: Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA), Entropy, 25(4), 689 (2023). DOI:10.3390/e25040689 » Abstract
G. Li, N. Chen, J. Lin: Emotion Decoding Model Based on Recurrent Analysis of EEG Functional Connectivity Microstate Sequence, Huadong Ligong Daxue Xuebao/ Journal of East China University of Science and Technology, 49(1), 108–115 (2023). DOI:10.14135/j.cnki.1006-3080.20211202003 » Abstract
J. Li, S. Wang, X. Wang, X. Wang: Analysis on Runoff Characteristics of Recurrence Plot Theory Under Different Time Scales, Journal of Basic Science and Engineering, 31(3), 569–583 (2023). DOI:10.16058/j.issn.1005-0930.2023.03.004 » Abstract
G. Li, S. Zhu, Z. Liu, J. Lin, Y. Pang: Electrocardiogram classification algorithm based on CvT-13 and multimodal image fusion, Journal of Biomedical Engineering, 40(4), 736 – 742 (2023). DOI:10.7507/1001-5515.202301026 » Abstract
Y. Li, Z. Li: Research on Monitoring Method of Stock Market Systematic Crash Based on Market Transaction Data, Journal of Organizational and End User Computing, 35(1), (2023). DOI:10.4018/JOEUC.324062 » Abstract
S. Li, L. Roger, L. Kumar, N. Lewinski, J. Klein-Seetharaman, H. Putnam, J. Yang: High-frequency imagery to capture coral tissue (Montipora capricornis) response to environmental stress, a pilot study, PLoS ONE, 18(3 March), e0283042 (2023). DOI:10.1371/journal.pone.0283042 » Abstract
S. Li, A. Adelmann: Time series forecasting methods and their applications to particle accelerators, Physical Review Accelerators and Beams, 26(2), 024801 (2023). DOI:10.1103/PhysRevAccelBeams.26.024801 » Abstract
J. Li, M. Matsunaga, M. Myowa, Y. Nagai: Recurrence Plots of Mother-Child Autonomic Nervous System Predict Mother's Stress, Proceedings of the IEEE International Conference on Development and Learning (ICDL 2023), 182–187 (2023). DOI:10.1109/ICDL55364.2023.10364532 » Abstract
N. Li, H. Ma, B. Duan, H. Zhu, P. He: Fault diagnosis method for transformer core looseness based on multi-sensor fusion voiceprint feature map, Zhendong yu Chongji/ Journal of Vibration and Shock, 42(15), 129–198 (2023). DOI:10.13465/j.cnki.jvs.2023.15.016 » Abstract
Q. Li, V. D. Calhoun, T. D. Pham, A. Iraji: Exploring nonlinear dynamics in brain functionality through phase portraits and fuzzy recurrence plots, Chaos, 34(10), 103123 (2024). DOI:10.1063/5.0203926 » Abstract
H. Li, F. Min: Large-Scale Memrisitive Rulkov Ring-Star Neural Network With Complex Spatio-Temporal Dynamics, IEEE Transactions on Industrial Informatics, 20(8), 10259–10268 (2024). DOI:10.1109/TII.2024.3393563 » Abstract
X. Li: Differential Diagnosis of Attention-Deficit/ Hyperactivity Disorder and Bipolar Disorder using Steady-State Visual Evoked Potentials, International Journal of Advanced Computer Science and Applications, 15(5), 1090–1097 (2024). DOI:10.14569/IJACSA.2024.01505110 » Abstract
B. Li, R. Li, J. Li, R. Xia, X. Wang: Spectroscopy identification method and system for coal and gangue based on multilocation feature fusion, International Journal of Coal Preparation and Utilization, 44(8), 993–1016 (2024). DOI:10.1080/19392699.2023.2237905 » Abstract
J. Li, N. Zhang, Y. Xu, J. Wang, X. Kang, R. Ji, K. Li, Y. Hou: Dynamical network-based evaluation for neuromuscular dysfunction in stroke-induced hemiplegia during standing, Journal of Neuroengineering and Rehabilitation, 21(1), 190 (2024). DOI:10.1186/s12984-024-01488-6 » Abstract
C. Li, H. Liu: Subsynchronous Oscillation Identification Method Based on Unthresholded Recurrence Plot and Convolutional Neural Networks, Proceedings of the 9th Asia Conference on Power and Electrical Engineering (ACPEE 2024), , 1439–1445 (2024). DOI:10.1109/ACPEE60788.2024.10532658 » Abstract
Q. Li, M. Seraji, V. DCalhoun, A. Iraji: Complexity Measures of Psychotic Brain Activity In The FMRI Signal, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI 2024), 9–12 (2024). DOI:10.1109/SSIAI59505.2024.10508702 » Abstract
Q. Li, Y. Lai, D. Cao: Investigating Electromagnetic Acoustic Emission Signals Denoising for Alloy Materials Nondestructive Testing: A CRQA Method, Russian Journal of Nondestructive Testing, 60(2), 144–156 (2024). DOI:10.1134/S1061830923601393 » Abstract
Y. Li, Z. Chen, F. Zhang, Z. Wei, Y. Huang, C. Chen, Y. Zheng, Q. Wei, H. Sun, F. Chen: Research on detection of potato varieties based on spectral imaging analytical algorithm, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 311, 123966 (2024). DOI:10.1016/j.saa.2024.123966 » Abstract
Y. Li, Y. Wang, M. Hao, X. Sun: Recurrence Dynamic Modeling of Metropolitan Cellular Network Traffic, Arabian Journal for Science and Engineering, 50, 973–986 (2025). DOI:10.1007/s13369-024-08983-x » Abstract
C. Li, J. C. S. Lai, S. Oberst: Optimizing self-organized topology of recurrence-based complex networks, Chaos, 35(3), 031101 (2025). DOI:10.1063/5.0249500 » Abstract
X. Li, Q. Tang, L. Li, Y. Wu, Y. Cheng: Precision prediction in grinding processes based on displacement signal conversion into recurrent plot, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, , (in press). DOI:10.1177/09544089241253681 » Abstract
E. Lian, Y. Ren, Y. Han, W. Liu, N. Jin, J. Zhao: Multi-Scale Morphological Analysis of Conductance Signals in Vertical Upward Gas-Liquid Two-Phase Flow, Zeitschrift für Naturforschung A, 71(11), 1031–1052 (2016). DOI:10.1515/zna-2016-0235 » Abstract
B. Lian, P. Hu, X. Zhu, Z. Du: Study on Frequency Lock-in Phenomenon and Aeroelastic Stability of the Airfoil at High Angle of Attack, Journal of Engineering Thermophysics, 44(3), 668–676 (2023). » Abstract
Z. Liang, Y. Wang, Y. Ren, D. Li, L. J. Voss, J. W. Sleigh, X. Li: Detection of Burst Suppression Patterns in EEG Using Recurrence Rate, The Scientific World Journal, 2014, 295070 (2014). DOI:10.1155/2014/295070 » Abstract
Q.-Z. Liang, X.-M. Guo, W.-Y. Zhang, W.-D. Dai, X.-H.Zhu: Identification of Heart Sounds with Arrhythmia based on Recurrence Quantification Analysis and Kolmogorov Entropy, Journal of Medical and Biological Engineering, 35(2), 209–217 (2015). DOI:10.1007/s40846-015-0022-y » Abstract
Z. Liang, Y. Bai, Y. Ren, X. Li: Synchronization Measures in EEG Signals, In: Signal Processing in Neuroscience, , Eds.: X. Li, Springer, Singapore, 167–202 (2016). DOI:10.1007/978-981-10-1822-0_9 » Abstract
Z. Liang, Y. Ren, J. Yan, D. Li, L. J. Voss, J. W. Sleigh, X. Li: A comparison of different synchronization measures in electroencephalogram during propofol anesthesia, Journal of Clinical Monitoring and Computing, 30(4), 451–466 (2016). DOI:10.1007/s10877-015-9738-z » Abstract
L. Liang, T. Le, T. Zimmermann, S. Zeroug, D. Heliot: A machine learning framework for automating well log depth matching, Proceedings of the 60th Annual Logging Symposium (SPWLA 2019), 1–9 (2019). DOI:10.30632/T60ALS-2019_S » Abstract
J. Liang, M. Qi, K. Gu, Y. Liang, Z. Zhang, X. Duan: The structure inference of flocking systems based on the trajectories, Chaos, 32(10), 101103 (2022). DOI:10.1063/5.0106402 » Abstract
F. Y. Liao, Y. K. Jan: Using recurrence network approach to quantify nonlinear dynamics of skin blood flow in response to loading pressure, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2012), 4196–4199 (2012). DOI:10.1109/EMBC.2012.6346892 » Abstract
T. Liao, W. Liu, W. Lv, T. Zou, X. Yan, X. Lin: Nonlinear dynamic feature fusion in Wearable Sensor-Based Human Activity Inference, Proceedings of the 2nd International Conference on Health Big Data and Intelligent Healthcare (ICHIH 2023), 170–175 (2023). DOI:10.1109/ICHIH60370.2023.10396635 » Abstract
X. Liao, H. Zheng, H. Wang, M. Hong, X. Lin, X. Zhu, Y. Zhang: Performance Diagnosis of Oracle Database Systems Based on Image Encoding and VGG16 Model, IEEE Access, 12, 137194–137202 (2024). DOI:10.1109/ACCESS.2024.3448261 » Abstract
T. Lichtenegger, S. Pirker: Recurrence CFD – A novel approach to simulate multiphase flows with strongly separated time scales, Chemical Engineering Science, 153, 394–410 (2016). DOI:10.1016/j.ces.2016.07.036 » Abstract
T. Lichtenegger, E.A.J.F. Peters, J. A. M. Kuipers, S. Pirker: A recurrence CFD study of heat transfer in a fluidized bed, Chemical Engineering Science, 172, 310–322 (2017). DOI:10.1016/j.ces.2017.06.022 » Abstract
T. Lichtenegger: Local and global recurrences in dynamic gas-solid flows, International Journal of Multiphase Flow, 106, 125–137 (2018). DOI:10.1016/j.ijmultiphaseflow.2018.05.013 » Abstract
T. Lichtenegger, P. Kieckhefen, S. Heinrich, S. Pirker: Dynamics and long-time behavior of gas-solid flows on recurrent-transient backgrounds, Chemical Engineering Journal, 364, 562–577 (2019). DOI:10.1016/j.cej.2019.01.161 » Abstract
T. Lichtenegger, T. Miethlinger: On the connection between Lagrangian and Eulerian metrics for recurrent particulate flows, Physics of Fluids, 32(11), 113308 (2020). DOI:10.1063/5.0025597 » Abstract
T. Lichtenegger, S. Abbasi, S. Pirker: Transport in turbulent, recurrent flows: Time-extrapolation and statistical symmetrization, Chemical Engineering Science, 259, 117795 (2022). DOI:10.1016/j.ces.2022.117795 » Abstract
A. Lichtwarck-Aschoff, F. Hasselman, R. F. A. Cox, D. Pepler, I. Granic: A Characteristic Destabilization Profile in Parent-Child Interactions Associated with Treatment Efficacy for Aggressive Children, Nonlinear Dynamics, Psychology, and Life Sciences, 16(3), 353–379 (2012). » Abstract
A. Lichtwarck-Aschoff, M. M. Rooij: Are Changes in Children's Communication Patterns Predictive of Treatment Outcomes for Children with Anxiety?, Clinical Psychology & Psychotherapy, 26(5), 572–585 (2019). DOI:10.1002/cpp.2383 » Abstract
A. Liening: Complexity and Entrepreneurship: Complexity Research and Its Implications on Entrepreneurship Processes, Springer, Wiesbaden, ISBN: 978-3-658-44031-2, 1–640 (2024). DOI:10.1007/978-3-658-44032-9 » Abstract
A. D. Likens, K. S. McCarthy, L. K. Allen, D. S. McNamara: Recurrence quantification analysis as a method for studying text comprehension dynamics, ACM International Conference Proceeding Series, 111–120 (2018). DOI:10.1145/3170358.3170407 » Abstract
Y.-R. Lin, H. Sundaram, Y. Chi, J. Tatemura, B. L. Tseng: Splog detection using self-similarity analysis on blog temporal dynamics, ACM International Conference Proceeding Series, 215, 1–8 (2007). DOI:10.1145/1244408.1244410 » Abstract
Y.-R. Lin, H. Sundaram, Y. Chi, J. Tatemura, B. L. Tseng: Detecting splogs via temporal dynamics using self-similarity analysis, ACM Transactions on the Web, 2(1), Art. 4 (2008). DOI:10.1145/1326561.1326565 » Abstract
C.-H. Lin, C.-T. Kuo, T.-F. Hsu, H. Jan, S.-Y. Han, M.-C. Ho, I.-M. Jiang: Experimental observation of chaotic phase synchronization of a periodically pump-modulated multimode microchip Nd:YVO_4 laser, Physics Letters A, 376(15), 1295–1299 (2012). DOI:10.1016/j.physleta.2012.02.037 » Abstract
M. Lin, G. Zhao, G. Wang: Recurrence quantification analysis for detecting dynamical changes in earthquake magnitude time series, International Journal of Modern Physics C, 26(7), 1550077 (2015). DOI:10.1142/S0129183115500771 » Abstract
M. Lin, X. X. Fan, G. Wang, G. Zhao: Network structure entropy and its dynamical evolution for recurrence networks from earthquake magnitude time series, European Physical Journal B, 89(5), 131 (2016). DOI:10.1140/epjb/e2016-70004-0 » Abstract
C. Lin, T. Wen, F. Setiawan: Evaluation of vertical ground reaction forces pattern visualization in neurodegenerative diseases identification using deep learning and recurrence plot image feature extraction, Sensors, 20(14), 3857 (2020). DOI:10.3390/s20143857 » Abstract
C. Lin, Y. Lin, M. Lo, C. Chiang, Y. Chen, L. Kuo, S. Chang, L. Lo, Y. Hu, T. Chao, F. Chung, J. Liao, T. Chang, C. Lin, T. Tuan, C. Wu, C. Liu, S. Liu, W. Cheng, I. C. Lugtu, A. Jain, A. N. Ton, D. Y. Hermanto, S. Chen: Efficacy of Patient-Specific Strategy Catheter Ablation Strategy of Persistent Atrial Fibrillation Based on Morphological Repetitiveness by Periodicity and Similarity, Circulation: Arrhythmia and Electrophysiology, 14(5), 535–538 (2021). DOI:10.1161/CIRCEP.121.009719 » Abstract
H. Lin, A. Singh: Board-to-Board Connector Mating Using Data-Driven Approach, Proceedings of the 19th IEEE International Conference on Industrial Informatics (INDIN 2021), 2021-July (2021). DOI:10.1109/INDIN45523.2021.9557555 » Abstract
J. Lin, X. Fan: Radar Active Jamming Recognition based on Recurrence Plot and Convolutional Neural Network, Proceedings of the IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC 2021), 1511–1515 (2021). DOI:10.1109/IMCEC51613.2021.9481990 » Abstract
H. Lin, F. Wibowo, A. Singh: Study on Data-Driven Approaches for the Automated Assembly of Board-to-Board Connectors, Applied Sciences, 12(3), 1216 (2022). DOI:10.3390/app12031216 » Abstract
Z. Lin, F. Jiang, Y. Luo, K. Liu, X. Zhang: Data-Driven Situation Awareness of Electricity-Gas Integrated Energy System considering Time Series Features, Frontiers in Energy Research, 10, 921296 (2022). DOI:10.3389/fenrg.2022.921296 » Abstract
R. Lin, W. Li, L. Li, C. Liao: High-Dissolution Mechanism of Ti–48Al–2Cr–2Nb Alloy in Electrochemical Machining from a Nonlinear Dynamic Perspective, Advanced Engineering Materials, 26(12), 2302083 (2024). DOI:10.1002/adem.202302083 » Abstract
S. Lin, Z. Chen, Y. Li, W. Meng: Intelligent bearing fault diagnosis technology based on deep learning and multi-domain decision fusion, Jisuanji Jicheng Zhizao Xitong/ Computer Integrated Manufacturing Systems, CIMS, 30(10), 3708–3718 (2024). DOI:10.13196/j.cims.2022.0260 » Abstract
D. Lira-Palma, K. Gonzalez-Rosales, R. D. Castillo, R. Spencer, A. Fresno: Categorical Cross-Recurrence Quantification Analysis Applied to Communicative Interaction during Ainsworth's Strange Situation, Complexity, 2018, 4547029 (2018). DOI:10.1155/2018/4547029 » Abstract
J. Lisowicz, K. Krupa, K. Leksycki, R. Rusinek, S. Wojciechowski: Analysis of Tool Wear in Finish Turning of Titanium Alloy Ti-6Al-4V Under Minimum Quantity Lubrication Conditions Observed with Recurrence Quantification Analysis, Materials, 18(1), 79 (2025). DOI:10.3390/ma18010079 » Abstract
G. Litak, T. Kamiński, J. Czarnigowski, D. Żbukowski, M. Wendeker: Cycle-to-cycle oscillations of heat release in a spark ignition engine, Meccanica, 42(5), 423–433 (2007). DOI:10.1007/s11012-007-9066-6 » Abstract
G. Litak, T. Kamiński, R. Rusinek, J. Czarnigowski, M. Wendeker: Patterns in the combustion process in a spark ignition engine, Chaos, Solitons & Fractals, 35(3), 578–585 (2008). DOI:10.1016/j.chaos.2006.05.053 » Abstract
G. Litak, J. Gajewski, A. Syta, J. Jonak: Quantitative estimation of the tool wear effects in a ripping head by recurrence plots, Journal of Theoretical and Applied Mechanics, 46(3), 521–530 (2008). » Abstract
G. Litak, R. Longwic: Analysis of repeatability of Diesel engine acceleration, Applied Thermal Engineering, 29(17–18), 3574–3578 (2009). DOI:10.1016/j.applthermaleng.2009.06.015 » Abstract
G. Litak, A. K. Sen, A. Syta: Intermittent and chaotic vibrations in a regenerative cutting process, Chaos, Solitons & Fractals, 41(4), 2115–2122 (2009). DOI:10.1016/j.chaos.2008.08.018 » Abstract
G. Litak, M. Borowiec, J. Hunicz, G. Koszalka, A. Niewczas: Vibrations of a delivery car excited by railway track crossing, Chaos, Solitons & Fractals, 42(1), 270–276 (2009). DOI:10.1016/j.chaos.2008.11.020 » Abstract
G. Litak, A. Syta, B. F. Yao, C. X. Li: Indicated mean effective pressure oscillations in a natural gas combustion engine by recurrence plots, Journal of Theoretical and Applied Mechanics, 47(1), 55–67 (2009). DOI:10.1515/zna-2009-5-614 » Abstract
G. Litak, J. T. Sawicki, R. Kasperek: Cracked rotor detection by recurrence plots, Nondestructive Testing and Evaluation, 24(4), 347–351 (2009). DOI:10.1080/10589750802570836 » Abstract
G. Litak, A. Syta, J. Gajewski, J. Jonak: Detecting and identifying non-stationary courses in the ripping head power consumption by recurrence plots, Meccanica, 45(4), 603–608 (2010). DOI:10.1007/s11012-009-9265-4
G. Litak, M. Wiercigroch, B. W. Horton, X. Xu: Transient chaotic behaviour versus periodic motion of a parametric pendulum by recurrence plots, ZAMM – Journal of Applied Mathematics and Mechanics/ Zeitschrift für Angewandte Mathematik und Mechanik, 90(1), 33–41 (2010). DOI:10.1002/zamm.200900290 » Abstract
G. Litak, A. Syta, J. Gajewski, J. Jonak: Nonlinear analysis of the ripping head power time series, Journal of Vibroengineering, 13(1), 39–51 (2011). » Abstract
G. Litak, A. Syta, J. Gajewski, J. Jonak: Nonlinear analysis of the ripping head power time series, Journal of Vibroengineering, 13(1), 39–51 (2011). » Abstract
G. Litak, A. Syta, R. Rusinek: Dynamical changes during composite milling: recurrence and multiscale entropy analysis, The International Journal of Advanced Manufacturing Technology, 56(5–8), 445–453 (2011). DOI:10.1007/s00170-011-3195-8 » Abstract
G. Litak, R. Rusinek: Dynamics of a stainless steel turning process by statistical and recurrence analyses, Meccanica, 47(6), 1517–1526 (2012). DOI:10.1007/s11012-011-9534-x » Abstract
G. Litak, G. Gorski, R. Mosdorf, A. Rysak: Study of dynamics of two-phase flow through a minichannel by means of recurrences, Mechanical Systems and Signal Processing, 89, 48–57 (2017). DOI:10.1016/j.ymssp.2016.08.037 » Abstract
M. A. Little, P. E. McSharry, S. J. Roberts, D. A. E. Costello, I. M. Moroz: Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection, Biomedical Engineering Online, 6(23), 1–19 (2007). DOI:10.1186/1475-925X-6-23 » Abstract
Y. Liu, M. Kankaanpää, J. P. Zbilut, C. L. Webber, Jr.: EMG recurrence quantifications in dynamic exercise, Biological Cybernetics, 90(5), 337–348 (2004). DOI:10.1007/s00422-004-0474-6 » Abstract
C. Liu, X. Wang: Development of the system to detect and process Electromyogram signals, Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), 7 VOLS(1616021,), 6627–6630 (2005). DOI:10.1109/IEMBS.2005.1616021 » Abstract
X. Liu, J. Cheng, H. Lu, L. Zhang: Effectiveness of daily short-duration standing in preventing post-suspension cardiovascular dysfunction in rats assessed by cardiovascular signal analysis, Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), 7 VOLS(1616575), 960–963 (2005). DOI:10.1109/IEMBS.2005.1616575 » Abstract
C. Liu, X. Wang: Recurrence quantification analysis of electrically evoked surface EMG signal, Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), 7 VOLS(1615487), 4572–4575 (2005). DOI:10.1109/IEMBS.2005.1615487 » Abstract
Y. Liu, X. Liao: Adaptive chaotic noise reduction method based on dual-lifting wavelet, Expert Systems with Applications, 38(3), 1346–1355 (2011). DOI:10.1016/j.eswa.2010.07.026 » Abstract
Y. Liu, G.-S Yang, Q. Jia: Adaptive noise reduction for chaotic signals based on dual-lifting wavelet transform, Tien Tzu Hsueh Pao/ Acta Electronica Sinica, 39(1), 13–17 (2011). DOI:10.1016/j.eswa.2010.07.026 » Abstract
J. Liu, S.-T. Shi, J.-C. Zhao: Comparison study of typical algorithms for reconstructing time series from the recurrence plot of dynamical systems, Chinese Physics B, 22, 010505 (2013). DOI:10.1088/1674-1056/22/1/010505 » Abstract
J.-L. Liu, Z.-G. Yu, V. Anh: Topological properties and fractal analysis of a recurrence network constructed from fractional Brownian motions, Physical Review E, 89, 032814 (2014). DOI:10.1103/PhysRevE.89.032814 » Abstract
Xu. Liu, J. Cao, S. Tang, J. Wen: Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals, Proceedings of the IEEE Real-Time Systems Symposium (RTSS), 346–355 (2014). DOI:10.1109/RTSS.2014.30 » Abstract
G. Liu, H. Yang: Self-organized recurrence networks, Proceedings of the IIE Annual Conference and Expo 2014, 149–158 (2014). » Abstract
X. Liu, L. Bo: Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM, Neurocomputing, 152, 36–44 (2015). DOI:10.1016/j.neucom.2014.11.021 » Abstract
T. Liu, N. Chen: Similarity Distance Fusion Algorithm in Cover Song Identification, Journal of East China University of Science and Technology (NaturalScience Edition), 42(6), 845–850 (2016). DOI:10.14135/j.cnki.1006-3080.2016.06.015 » Abstract
W. Liu, N. Jin, Y. Han, L. Zhai, X. Chen, H. Zhang: Effects of flow patterns and salinity on water holdup measurement of oil-water two-phase flow using a conductance method, Measurement, 93, 503–514 (2016). DOI:10.1016/j.measurement.2016.07.053 » Abstract
W. Liu, D. Wang, X. Chen, C. Wang, H. Liu: Recurrence plot-based dynamic analysis on electrochemical noise of the evolutive corrosion process, Corrosion Science, 124, 83–102 (2017). DOI:10.1016/j.corsci.2017.05.012 » Abstract
W. Liu, Y. Han, D. Wang, A. Zhao, N. Jin: The Slug and Churn Turbulence Characteristics of Oil–Gas–Water Flows in a Vertical Small Pipe, Zeitschrift für Naturforschung A, 72(9), 817–831 (2017). DOI:10.1515/zna-2017-0119 » Abstract
J. Liu, H. Liu, J. Jiang, B. Zhang: Relationship between the degree exponent and its associated timeseries' hurst exponent of a static scale-free network – Under the viewpoint of mutual representation between timeseries and network graph, Journal of Physics: Conference Series, 1113(1), 012005 (2018). DOI:10.1088/1742-6596/1113/1/012005 » Abstract
Q. Liu, L. Ma, S.-Z. Fan, M. F. Abbod, J.-S. Shieh: Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries, PeerJ, 2018(5), 4817 (2018). DOI:10.7717/peerj.4817 » Abstract
Y. Liu, Y. Cui, W. P. Yu, Y. Zhang, L. Wu, S. T. You, Y. L. Liu: Recent Application Examples of FNET/GridEye, Proceedings of the IEEE 12Th International Conference On Compatibility Power Electronics and Power Engineering (CPE-POWERENG 2018) (2018). DOI:10.1109/CPE.2018.8372494 » Abstract
J. Liu, Z. Yu, Y. Leung, T. Fung, Y. Zhou: Fractal analysis of recurrence networks constructed from the two-dimensional fractional Brownian motions, Chaos, 30(11), 113123 (2020). DOI:10.1063/5.0003884 » Abstract
M. Liu, D. Liu, G. Sun, Y. Zhao, D. Wang, F. Liu, X. Fang, Q. He, D. Xu: Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case Study, IEEE Industrial Electronics Magazine, 14(4), 79–90 (2020). DOI:10.1109/MIE.2020.3026197 » Abstract
X. Liu, B. Wang, F. Ai, D. Wei, L. Bo: Evaluation of matrix cracking in composite laminates based on anomaly indices, International Journal of Fatigue, 140, 105841 (2020). DOI:10.1016/j.ijfatigue.2020.105841 » Abstract
P. Liu, D. Friedman, A. Barnett, K. Jackson, J. Daubert, J. Piccini: Focal impulse and rotor modulation of atrial rotors during atrial fibrillation leads to organization of left atrial activation as reflected by waveform morphology recurrence quantification analysis and organizational index, Journal of Arrhythmia, 36(2), 311–318 (2020). DOI:10.1002/joa3.12311 » Abstract
Q. Liu, Q. Wang, X. Li, X. Gong, X. Luo, T. Yin, J. Liu, L. Yi: Social synchronization during joint attention in children with autism spectrum disorder, Autism Research, 14(10), 2120–2130 (2021). DOI:10.1002/aur.2553 » Abstract
C. Liu, I. Hsieh, C. Wen, M. Chang, S. Fan, M. Tsai, C. Chang, F. Hwang: The affordances and limitations of collaborative science simulations: The analysis from multiple evidences, Computers and Education, 160, 104029 (2021). DOI:10.1016/j.compedu.2020.104029 » Abstract
Y. Liu, Y. Yang, C. Ye, R. Yang, E. Appel, X. Fang: Global Change Modulated Asian Inland Climate Since 7.3 Ma: Carbonate Manganese Records in the Western Qaidam Basin, Frontiers in Earth Science, 9, 813727 (2021). DOI:10.3389/feart.2021.813727 » Abstract
X. Liu, F. Ai, L. Bo, K. Pu, H. Luo, D. Wei: Detection and Quantization of Fatigue Damage in Laminated Composites with Cross Recursive Quantitative Analysis, IEEE Transactions on Industrial Informatics, 17(3), 1553–1561 (2021). DOI:10.1109/TII.2020.2996674 » Abstract
Q. Liu, Y. Xu, J. Kurths, X. Liu: Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview, Chaos, 32(6), 062101 (2022). DOI:10.1063/5.0093478 » Abstract
C. Liu, L. Bai, Q. Yang, N. Jin: An Improved Conductance Sensor With Inner-Outer Multi-Height Ring Electrodes for Measurement of Vertical Gas-Liquid Flow, IEEE Sensors Journal, 22(7), 6399–6409 (2022). DOI:10.1109/JSEN.2022.3152819 » Abstract
Z. Liu, P. Chen: Electrocardiogram data recognition algorithm based on variable scale fusion network model, Journal of Biomedical Engineering/ Shengwu yixue gongchengxue zazhi, 39(3), 570–578 (2022). DOI:10.7507/1001-5515.202112045 » Abstract
C. Liu, T. Lin, C. Cheng, C. Wen, M. Chang, S. Fan, M. Tsai, H. Lin, F. Hwang: The impact of functional interdependencies of computer simulations on collaborative learning: Evidence from multiple sources, Journal of Computer Assisted Learning, 38(2), 455–469 (2022). DOI:10.1111/jcal.12625 » Abstract
X. Liu, T. Zhang, X. Sun, L. Bo: Application of Lamb wave cross-recurrence analysis in damage quantification of metal plates, Zhendong yu Chongji/ Journal of Vibration and Shock, 41(22), 226–232 (2022). DOI:10.13465/j.cnki.jvs.2022.22.027 » Abstract
J. Liu, H. Lu, Y. Guo, G. Gu, X. Li, D. Cui: A new EEG determinism analysis method based on multiscale dispersion recurrence plot, Biomedical Signal Processing and Control, 80, 104301 (2023). DOI:10.1016/j.bspc.2022.104301 » Abstract
Z. Liu, H. Wang, S. Sun, L. Xu, W. Yang: Investigation of wetting and drying process in a spout-fluid bed using acoustic sensor and electrical capacitance tomography, Chemical Engineering Science, 281, 119160 (2023). DOI:10.1016/j.ces.2023.119160 » Abstract
S. Liu, W. Wang: Dynamic behavior comparison of a gravity-induced magnetic rolling pendulum energy harvester with mono- and bistable potentials, European Physical Journal Plus, 138(7), 581 (2023). DOI:10.1140/epjp/s13360-023-04230-8 » Abstract
X. Liu, H. Zhou, Y. Lai, Y. Zhang: Characterisations of self-excited nonlinear oscillations at varied system parameters in a Rijke tube with a premixed laminar flame, Experimental Thermal and Fluid Science, 146, 110923 (2023). DOI:10.1016/j.expthermflusci.2023.110923 » Abstract
X. Liu, L. Xia, J. Shi, L. Zhang, L. Bai, S. Wang: A Fault Diagnosis Method of Rolling Bearing Based on Improved Recurrence Plot and Convolutional Neural Network, IEEE Sensors Journal, 23(10), 10767–10775 (2023). DOI:10.1109/JSEN.2023.3265409 » Abstract
Y. Liu, Z. Tang, L. Bai, B. Jiang, N. Jin: Measurement of Inclined Oil-Water Two-Phase Flows with the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor, IEEE Sensors Journal, 23(18), (2023). DOI:10.1109/JSEN.2023.3302797 » Abstract
X. Liu, H. Zhou, Y. Lai, Y. Zhang: Equivalence ratio independence and dependence ranges of system responses for a nonlinear thermoacoustic oscillation in a Rijke tube, Journal of Sound and Vibration, 547, 117545 (2023). DOI:10.1016/j.jsv.2022.117545 » Abstract
H. Liu, G. Chang, S. Zhao, L. Fu, J. Liu: Circuit Breaker State Identification Method Based on Tracing Spring Deformation Process and Recurrence Quantitative Analysis of Vibration Signals, Diangong Jishu Xuebao/ Transactions of China Electrotechnical Society, 39(8), 2567–2577 (2024). DOI:10.19595/j.cnki.1000-6753.tces.230201 » Abstract
X. Liu, Y. Lai, C. Fisk, J. Willmott, H. Zhou, Y. Zhang: Experimental investigation on the effects of a mesh in the downstream region of a combustion-driven Rijke tube on self-excited thermoacoustic oscillations, Experimental Thermal and Fluid Science, 150, 111061 (2024). DOI:10.1016/j.expthermflusci.2023.111061 » Abstract
W. Liu, H. Su, R. Xue, Q. Yang, L. Yao, C. Zheng, H. Wang, X. Gao: Spray swirling flame dynamic under combined modulation of air and fuel, Fuel, 377, 132792 (2024). DOI:10.1016/j.fuel.2024.132792 » Abstract
J. Liu, X. Ma, Y. Lu, J. G. Ogg, W. Yu, Z. Qian, Z. Zhang, H. Tai, Z. Liu, D. B. Kemp, C. Huang: Astronomically forced late Paleocene-early Eocene climate variability in the Subei Basin, East China, Global and Planetary Change, 232, 104350 (2024). DOI:10.1016/j.gloplacha.2023.104350 » Abstract
Y. Liu, Z. Lv, S. Zhang, L. Zhang, F. Guo: Feature Extraction and Detection Method of Series Arc Faults in a Motor With Inverter Circuits Under Vibration Conditions, IEEE Transactions on Industrial Electronics, 71(6), 6294–6303 (2024). DOI:10.1109/TIE.2023.3294630 » Abstract
C. Liu, J. Man, C. Liu, L. Wang, X. Ma, J. Miao, Y. Liu: Research on damage identification of large-span spatial structures based on deep learning, Journal of Civil Structural Health Monitoring, 14, 1035–1058 (2024). DOI:10.1007/s13349-024-00772-2 » Abstract
J. Liu, C. Nerse, S. Oberst: Influence on classification accuracy of partially annotated underwater animal sounds by combining mel-spectra and recurrence plots, Proceedings of the International Congress on Sound and Vibration (ICSV30), (2024). https://iiav.org/content/archives_icsv_last/2024_icsv30/content/papers/papers/full_paper_18_20240114131027515.pdf » Abstract
J. Liu, D. Wu, H. Mohammed, R. Seidu: A Novel Method for Anomaly Detection and Signal Calibration in Water Quality Monitoring of an Urban Water Supply System, Water, 16(9), 1238 (2024). DOI:10.3390/w16091238 » Abstract
Y. Liu, H. Xing, T. Hou: Sea Surface Floating Small-Target Detection Based on Dual-Feature Images and Improved MobileViT, Journal of Marine Science and Engineering, 13(3), 572 (2025). DOI:10.3390/jmse13030572 » Abstract
Z. Liu, X. Mao, J. Liu, H. Qin, Z. Huang, W. Xie: An improved short-wave rail irregularity detection method based on frequency-related Recurrence Plot and Convolutional Neural Network, Nonlinear Dynamics, 113, 11403–11421 (2025). DOI:10.1007/s11071-024-10661-4 » Abstract
Z. Liu, Y. Shao, Q. Li, J. Su: Transformer-based material recognition via short-time contact sensing, Pattern Recognition, 163, 111448 (2025). DOI:10.1016/j.patcog.2025.111448 » Abstract
J. Liu, Y. Tan, N. Yang, Y. Gao, W. Zhao: An anti-noise bearing's fault diagnosis method using adaptive deconvolution and Mobile ViT, IEEE Sensors Journal, , (in press). DOI:10.1109/JSEN.2024.3447777 » Abstract
M. F. Llop, N. Gascons, F. X. Llauró: Recurrence plots to characterize gas-solid fluidization regimes, International Journal of Multiphase Flow, 73, 43–56 (2015). DOI:10.1016/j.ijmultiphaseflow.2015.03.003 » Abstract
M. F. Llop, N. Gascons: Multiresolution analysis of gas fluidization by empirical mode decomposition and recurrence quantification analysis, International Journal of Multiphase Flow, 105, 170–184 (2018). DOI:10.1016/j.ijmultiphaseflow.2018.04.006 » Abstract
P. Lo: Novel findings on cardiorespiratory role swapping by assessing nonlinear dynamical interactions, Biomedical Engineering, 34(6), 2250039 (2022). DOI:10.4015/S1016237222500399 » Abstract
D. López, P. Tomalski, A. Radkowska, H. Ballieux, D. Moore: Efficiency of scanning and attention to faces in infancy independently predict language development in a multiethnic and bilingual sample of 2-year-olds, First Language, 41(2), 218–239 (2021). DOI:10.1177/0142723720966815 » Abstract
D. López, A. Bokde, C. Kerskens: Complexity analysis of heartbeat-related signals in brain MRI time series as a potential biomarker for ageing and cognitive performance, European Physical Journal – Special Topics, 232, 123–133 (2023). DOI:10.1140/epjs/s11734-022-00696-2 » Abstract
D. López Pérez, G. Leonardi, A. Niedźwiecka, A. Radkowska, J. Rączaszek-Leonardi, P. Tomalski: Combining recurrence analysis and automatic movement extraction from video recordings to study behavioral coupling in face-to-face parent-child interactions, Frontiers in Psychology, 8, 2228 (2017). DOI:10.3389/fpsyg.2017.02228 » Abstract
C. López-Meléndez, E. García-Ochoa, M. I. Flores-Zamora, R. G. Bautista-Margulis, C. Carreño-Gallardo, C. C. Castillo Morquecho, J. G. Chacon-Nava, A. Martínez-Villafañe: Dynamic study of current fluctuations of nanostructured films, International Journal of Electrochemical Science, 7(2), 1160–1169 (2012). DOI:10.1016/s1452-3981(23)13403-1 » Abstract
T. E. Lockhart, R. Soangra, H. Yoon, T. Wu, C. W. Frames, R. Weaver, K. A. Roberto: Prediction of fall risk among community-dwelling older adults using a wearable system, Scientific Reports, 11(1), 20976 (2021). DOI:10.1038/s41598-021-00458-5 » Abstract
K.-C. Loh, F. S. Greenspan, F. Dong, T. R. Miller, P. P. B. Yeo: Influence of Lymphocytic Thyroiditis on the Prognostic Outcome of Patients with Papillary Thyroid Carcinoma, The Journal of Clinical Endocrinology & Metabolism, 84(2), 458–463 (1999). DOI:10.1210/jcem.84.2.5443 » Abstract
A. Lombardi, P. Guccione, L. Mascolo: Analysis of fMRI Data using the Complex Systems Approach, Proceedings of the 20th IMEKO TC4 Symposium on Measurements of Electrical Quantities, 293–298 (2014). » Abstract
A. Lombardi, P. Guccione, L. Mascolo, P. Taurisano, L. Fazio, G. Nico: Combining Graph Analysis and Recurrence Plot on fMRI data, Proceedings of the IEEE International Symposium on Medical Measurements and Applications (MeMeA), 18–23 (2015). DOI:10.1109/MeMeA.2015.7145165 » Abstract
A. Lombardi, S. Tangaro, R. Bellotti, A. Bertolino, G. Blasi, G. Pergola, P. Taurisano, C. Guaragnella: A Novel Synchronization-Based Approach for Functional Connectivity Analysis, Complexity, 2017, 7190758 (2017). DOI:10.1155/2017/7190758 » Abstract
A. Lombardi, N. Amoroso, D. Diacono, E. Lella, R. Bellotti, S. Tangaro: Age Related topological analysis of synchronization-based functional connectivity, In: Studies in Computational Intelligence, 813, Eds.: L. Aiello and C. Cherifi and H. Cherifi and R. Lambiotte and P. Lio and L. Rocha, Springer, Cham, 652–662 (2018). DOI:10.1007/978-3-030-05414-4_52 » Abstract
A. Lombardi, E. Lella, D. Diacono, N. Amoroso, A. Monaco, R. Bellotti, S. Tangaro: Cross recurrence quantitative analysis of functional magnetic resonance imaging, In: Lecture Notes in Computational Vision and Biomechanics, ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE 2019), 34, 86–92 (2019). DOI:10.1007/978-3-030-32040-9_10 » Abstract
A. Lombardi, C. Guaragnella, N. Amoroso, A. Monaco, L. Fazio, P. Taurisano, G. Pergola, G. Blasi, A. Bertolino, R. Bellotti, S. Tangaro: Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes, Neuroimage, 195, 150–164 (2019). DOI:10.1016/j.neuroimage.2019.03.055 » Abstract
A. Lombardi, N. Amoroso, D. Diacono, A. Monaco, S. Tangaro, R. Bellotti: Individual topological analysis of synchronization-based brain connectivity, Applied Sciences, 10(9), 3275 (2020). DOI:10.3390/app10093275 » Abstract
D. Long, F. Qiu, M. Xu, J. Lin, S. Wang, D. An: An Asymmetric Direct-Connected Network for Rolling Bearing Fault Diagnosis, Proceedings of the China Automation Congress (CAC 2021), 3764–3769 (2021). DOI:10.1109/CAC53003.2021.9727488 » Abstract
R. Longwic, G. Litak, A. K. Sen: Recurrence Plots for Diesel Engine Variability Tests, Zeitschrift für Naturforschung A, 64(1–2), 96–102 (2009). DOI:10.1515/zna-2009-1-214 » Abstract
P. Lonkwic, A. Syta: Nonlinear analysis of braking delay dynamics for the progressive gears in variable operating conditions, Journal of Vibroengineering, 18(7), 4401–4408 (2016). DOI:10.21595/jve.2016.17000 » Abstract
L. W. Lopes, S. C. Costa, W. C. D. A. Costa, S. E. N. Correia, V. J. D. Vieira: Acoustic Assessment of the Voices of Children Using Nonlinear Analysis: Proposal for Assessment and Vocal Monitoring, Journal of Voice, 28(5), 565–573 (2014). DOI:10.1016/j.jvoice.2014.02.013 » Abstract
S. R. Lopes, T. D. L. Prado, G. Corso, G. S., J. Kurths: Parameter-free quantification of stochastic and chaotic signals, Chaos, Solitons & Fractals, 133, 109616 (2020). DOI:10.1016/j.chaos.2020.109616 » Abstract
L. W. Lopes, V. J. D. Vieira, S. C. Costa, S. E. N. Correia, M. Behlau: Effectiveness of Recurrence Quantification Measures in Discriminating Subjects With and Without Voice Disorders, Journal of Voice, 34(2), 208–220 (2020). DOI:10.1016/j.jvoice.2018.09.004 » Abstract
M. Lopes, J. Zhang, D. Krzemiński, K. Hamandi, Q. Chen, L. Livi, N. Masuda: Recurrence quantification analysis of dynamic brain networks, European Journal of Neuroscience, 53(4), 1040–1059 (2021). DOI:10.1111/ejn.14960 » Abstract
L. W. Lopes, V. J. D. Vieira, M. Behlau: Performance of Different Acoustic Measures to Discriminate Individuals With and Without Voice Disorders, Journal of Voice, 36(4), 487–498 (2022). DOI:10.1016/j.jvoice.2020.07.008 » Abstract
T. Loucks, K. Pelczarski, H. Lomheim, D. Aalto: Speech kinematic variability in adults who stutter is influenced by treatment and speaking style, Journal of Communication Disorders, 96, 106194 (2022). DOI:10.1016/j.jcomdis.2022.106194 » Abstract
V. Lourencco, J. Coutinho, A. Pereira: Advances in microanalysis: Magnifying the social microscope on mother-infant interactions, Infant Behavior and Development, 64, 101571 (2021). DOI:10.1016/j.infbeh.2021.101571 » Abstract
M. M. Louwerse, R. Dale, E. G. Bard, P. Jeuniaux: Behavior Matching in Multimodal Communication Is Synchronized, Cognitive Science, 36(8), 1404–1426 (2012). DOI:10.1111/j.1551-6709.2012.01269.x » Abstract
Y. Lu, J. E. Michaels: State Space Feature Extraction Applied to Diffuse Ultrasonic Signals Using Simulated Chaotic Excitations, AIP Conference Proceedings, 820(625), 625–632 (2006). DOI:10.1063/1.2184585 » Abstract
Y. Lu, J. Xu, Y. Li: Application of recurrence plot and approximate entropy on complexity analysis of machinery fault signal, Jixie Qiandu/ Journal of Mechanical Strength, 28(3), 317–321 (2006). » Abstract
S. Lu, K. H. Ju, J. K. Kanters, K. H. Chon: A computationally simple and robust method to detect determinism in a time series, Proceedings of the 28th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2006)(4030117), 763–766 (2006). DOI:10.1109/IEMBS.2006.260508 » Abstract
Y. Lu: Analysis and modeling of diffuse ultrasonic signals for structural health monitoring, PhD Thesis, (2007). http://hdl.handle.net/1853/16141 » Abstract
M.-J. Lu, Y. Zhan, X.-C. Si, X.-N. Yang: Extraction of the transient characteristics of the communication radiating source and individual identification, Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 36(4), 736–740 (2009). » Abstract
S. Lu, S. Oberst, G. Zhang, Z. Luo: Novel Order Patterns Recurrence Plot-Based Quantification Measures to Unveil Deterministic Dynamics from Stochastic Processes, In: Theory and Applications of Time Series Analysis, Eds.: O. Valenzuela and F. Rojas and H. Pomares and I. Rojas, Springer, Cham, 57–70 (2019). DOI:10.1007/978-3-030-26036-1_5 » Abstract
J. J. Lu, K. Y. Tong: Robust Single Accelerometer-Based Activity Recognition Using Modified Recurrence Plot, IEEE Sensors Journal, 19(15), 6317–6324 (2019). DOI:10.1109/JSEN.2019.2911204 » Abstract
S. Lu, Y. Xia: Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information, IEEE Access, 8, 173918–173932 (2020). DOI:10.1109/ACCESS.2020.3026110 » Abstract
H. Lu, J. Liu, G. Gu, X. Li, S. Yin, D. Cui: Nonlinear Phase Synchronization Analysis of EEG Signals in Amnesic Mild Cognitive Impairment with Type 2 Diabetes Mellitus, Neuroscience, 472, 25–34 (2021). DOI:10.1016/j.neuroscience.2021.07.022 » Abstract
Y. Lu, L. Yao, H. Li, T. Kausar, Z. Zhang, P. Gao, M. Wang: A new network representation for time series analysis from the perspective of combinatorial property of ordinal patterns, Heliyon, 9(11), (2023). DOI:10.1016/j.heliyon.2023.e22455 » Abstract
S. Lu, S. Oberst: Recurrence-based reconstruction of dynamic pricing attractors, Nonlinear Dynamics, 111, 15263–15278 (2023). DOI:10.1007/s11071-023-08629-x » Abstract
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N. Marvi, J. Haddadnia, M. R. F. Bordbar: An automated drug dependence detection system based on EEG, Computers in Biology and Medicine, 158, 106853 (2023). DOI:10.1016/j.compbiomed.2023.106853 » Abstract
N. Marwan: Untersuchung der Klimavariabilität in NW Argentinien mit Hilfe der quantitativen Analyse von Recurrence Plots, Diploma Thesis, (1999). » Abstract
N. Marwan, M. Thiel, N. R. Nowaczyk: Cross Recurrence Plot Based Synchronization of Time Series, Nonlinear Processes in Geophysics, 9(3/4), 325–331 (2002). DOI:10.5194/npg-9-325-2002 » Abstract
N. Marwan, N. Wessel, U. Meyerfeldt, A. Schirdewan, J. Kurths: Recurrence Plot Based Measures of Complexity and its Application to Heart Rate Variability Data, Physical Review E, 66(2), 026702 (2002). DOI:10.1103/PhysRevE.66.026702
recommended work » Abstract
N. Marwan, J. Kurths: Nonlinear analysis of bivariate data with cross recurrence plots, Physics Letters A, 302(5–6), 299–307 (2002). DOI:10.1016/S0375-9601(02)01170-2
recommended work » Abstract
N. Marwan, M. H. Trauth, M. Vuille, J. Kurths: Comparing modern and Pleistocene ENSO-like influences in NW Argentina using nonlinear time series analysis methods, Climate Dynamics, 21(3–4), 317–326 (2003). DOI:10.1007/s00382-003-0335-3 » Abstract
N. Marwan: Encounters With Neighbours – Current Developments Of Concepts Based On Recurrence Plots And Their Applications, PhD Thesis, , ISBN: 3-00-012347-4 (2003). URN:nbn:de:kobv:517-0000856 » Abstract
N. Marwan, J. Kurths: Cross Recurrence Plots and Their Applications, In: Mathematical Physics Research at the Cutting Edge, Eds.: C. V. Benton, Nova Science Publishers, Hauppauge, ISBN: 1-59033-939-8, 101–139 (2004). » Abstract
N. Marwan, A. Meinke: Extended recurrence plot analysis and its application to ERP data, International Journal of Bifurcation and Chaos, 14(2), 761–771 (2004). DOI:10.1142/S0218127404009454 » Abstract
N. Marwan, J. Kurths: Line structures in recurrence plots, Physics Letters A, 336(4–5), 349–357 (2005). DOI:10.1016/j.physleta.2004.12.056
recommended work » Abstract
N. Marwan, P. Saparin, J. Kurths: Generalisation of Recurrence Plot Analysis for Spatial Data, Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA2005), Brugge, Bruges, Belgium, 630–633 (2005). » Abstract
N. Marwan: Nonlinear Time-Series Analysis, In: MATLAB Recipes for Earth Sciences (1. edition), Eds.: M. H. Trauth, Springer, Berlin, Heidelberg, ISBN: 3-540-27983-0, 106–118 (2006). DOI:10.1007/3-540-27984-9_5
N. Marwan: Nonlinear Time-Series Analysis, In: MATLAB Recipes for Earth Sciences (2. edition), Eds.: M. H. Trauth, Springer, Berlin, Heidelberg, ISBN: 978-3-540-72748-4, 119–132 (2007). DOI:10.1007/978-3-540-72749-1_5 » Abstract
N. Marwan: Recurrence Plot Web Site, (2007). http://www.recurrence-plot.tk
N. Marwan, A. Groth, J. Kurths: Quantification of Order Patterns Recurrence Plots of Event Related Potentials, Chaos and Complexity Letters, 2(2/3), 301–314 (2007). » Abstract
N. Marwan, J. Kurths, P. Saparin: Generalised Recurrence Plot Analysis for Spatial Data, Physics Letters A, 360(4–5), 545–551 (2007). DOI:10.1016/j.physleta.2006.08.058 » Abstract
N. Marwan, M. C. Romano, M. Thiel, J. Kurths: Recurrence Plots for the Analysis of Complex Systems, Physics Reports, 438(5–6), 237–329 (2007). DOI:10.1016/j.physrep.2006.11.001
recommended work » Abstract
N. Marwan, A. Facchini, M. Thiel, J. P. Zbilut, H. Kantz: 20 Years of Recurrence Plots: Perspectives for a Multi-purpose Tool of Nonlinear Data Analysis, European Physical Journal – Special Topics, 164(1), 1–2 (2008). DOI:10.1140/epjst/e2008-00828-2 » Abstract
N. Marwan: A Historical Review of Recurrence Plots, European Physical Journal – Special Topics, 164(1), 3–12 (2008). DOI:10.1140/epjst/e2008-00829-1 » Abstract
N. Marwan, S. Schinkel, J. Kurths: Significance for a recurrence based transition analysis, Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA2008), Budapest, Hungary, 412–415 (2008). » Abstract
N. Marwan, J. Kurths: Comment on "Stochastic analysis of recurrence plots with applications to the detection of deterministic signals" by Rohde et al. [Physica D 237 (2008) 619–629], Physica D, 238(16), 1711–1715 (2009). DOI:10.1016/j.physd.2009.04.018 » Abstract
N. Marwan, J. F. Donges, Y. Zou, R. V. Donner, J. Kurths: Complex network approach for recurrence analysis of time series, Physics Letters A, 373(46), 4246–4254 (2009). DOI:10.1016/j.physleta.2009.09.042 » Abstract
N. Marwan: Nonlinear Time-Series Analysis, In: MATLAB Recipes for Earth Sciences (3. edition), Eds.: M. H. Trauth, Springer, Berlin, Heidelberg, ISBN: 978-3-642-44716-7, 146–160 (2010). DOI:10.1007/978-3-642-12762-5_5 » Abstract
N. Marwan, N. Wessel, H. Stepan, J. Kurths: Recurrence based complex network analysis of cardiovascular variability data to predict pre-eclampsia, Proceedings of the Biosignal Conference 2010 Berlin, 1–4 (2010). » Abstract
N. Marwan, N. Wessel, H. Stepan, J. Kurths: Recurrence Based Complex Network Analysis of Cardiovascular Variability Data to Predict Pre-Eclampsia, Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA2010), Krakow(6170), 585–588 (2010). » Abstract
N. Marwan: How to avoid potential pitfalls in recurrence plot based data analysis, International Journal of Bifurcation and Chaos, 21(4), 1003–1017 (2011). DOI:10.1142/S0218127411029008 » Abstract
N. Marwan: CRP Toolbox 5.17, (2013). http://tocsy.pik-potsdam.de/CRPtoolbox
platform independent (for Matlab)
N. Marwan, S. Schinkel, J. Kurths: Recurrence plots 25 years later – Gaining confidence in dynamical transitions, Europhysics Letters, 101, 20007 (2013). DOI:10.1209/0295-5075/101/20007 » Abstract
N. Marwan, Y. Zou, N. Wessel, M. Riedl, J. Kurths: Estimating coupling directions in the cardio-respiratory system using recurrence properties, Philosophical Transactions of the Royal Society A, 371(1997), 20110624 (2013). DOI:10.1098/rsta.2011.0624 » Abstract
N. Marwan, M. A. Riley, A. Giuliani, C. L. Webber, Jr.: Translational Recurrences – From Mathematical Theory to Real-World Applications, 103, Springer, Cham, ISBN: 978-3-319-09530-1, 230 (2014). DOI:10.1007/978-3-319-09531-8 » Abstract
N. Marwan, J. H. Feldhoff, R. V. Donner, J. F. Donges, J. Kurths: Detection of coupling directions with intersystem recurrence networks, Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA 2012), 1, 231–234 (2014). DOI:10.15248/proc.1.231 » Abstract
N. Marwan, C. L. Webber, Jr.: Mathematical and Computational Foundations of Recurrence Quantifications, In: Recurrence Quantification Analysis – Theory and Best Practices, Eds.: C. L. Webber, Jr. and N. Marwan, Springer, Cham, 3–43 (2015). DOI:10.1007/978-3-319-07155-8_1 » Abstract
N. Marwan: Nonlinear Time-Series Analysis, In: MATLAB Recipes for Earth Sciences (4. edition), Eds.: M. H. Trauth, Springer, Berlin, Heidelberg, ISBN: 978-3-662-50033-0, 195–213 (2015). DOI:10.1007/978-3-662-46244-7_5 » Abstract
N. Marwan, J. Kurths: Complex network based techniques to identify extreme events and (sudden) transitions in spatio-temporal systems, Chaos, 25, 097609 (2015). DOI:10.1063/1.4916924 » Abstract
N. Marwan, S. Foerster, J. Kurths: Analysing spatially extended high-dimensional dynamics by recurrence plots, Physics Letters A, 379(10–11), 894–900 (2015). DOI:10.1016/j.physleta.2015.01.013 » Abstract
N. Marwan, D. Eroglu, I. Ozken, T. Stemler, K.-H. Wyrwoll, J. Kurths: Regime Change Detection in Irregularly Sampled Time Series, In: Advances in Nonlinear Geosciences, Eds.: A. A. Tsonis, Springer International, Cham, Switzerland, ISBN: 978-3-319-58895-7, 357–368 (2018). DOI:10.1007/978-3-319-58895-7_18 » Abstract
N. Marwan, C. L. Webber, Jr., E. E. N. Macau, R. L. Viana: Introduction to focus issue: Recurrence quantification analysis for understanding complex systems, Chaos, 28(8), 085601 (2018). DOI:10.1063/1.5050929 » Abstract
N. Marwan: Recurrence Plot Techniques for the Investigation of Recurring Phenomena in the System Earth, Habilitation Thesis, , ISBN: 978-3-00-064508-2 (2019). DOI:10.25932/publishup-44197 » Abstract
N. Marwan: Nonlinear Time-Series Analysis, In: MATLAB Recipes for Earth Sciences (5. edition), Eds.: M. H. Trauth, Springer Nature Switzerland, Cham, ISBN: 978-3-030-38440-1, 237–257 (2021). DOI:10.1007/978-3-030-38441-8_5 » Abstract
N. Marwan, J. F. Donges, R. V. Donner, D. Eroglu: Nonlinear time series analysis of palaeoclimate proxy records, Quaternary Science Reviews, 274, 107245 (2021). DOI:10.1016/j.quascirev.2021.107245 » Abstract
N. Marwan: Nichtlineare Zeitreihenanalyse, In: MATLAB-Rezepte für die Geowissenschaften (1. edition), Eds.: M. H. Trauth, Springer Spektrum, Berlin, Heidelberg, ISBN: 978-3-662-64356-3, 254–274 (2022). DOI:10.1007/978-3-662-64357-0_5 » Abstract
N. Marwan: Nonlinear Time-Series Analysis, In: Python Recipes for Earth Sciences (1. edition), Eds.: M. H. Trauth, Springer Nature Switzerland, Cham, ISBN: 978-3-031-07718-0, 192–212 (2022). DOI:10.1007/978-3-031-07719-7_5 » Abstract
N. Marwan, C. L. Webber, Jr., A. Rysak: Editorial: Special Issue "Trends in recurrence analysis of dynamical systems", European Physical Journal – Special Topics, 232(1), 1–3 (2023). DOI:10.1140/epjs/s11734-023-00766-z » Abstract
N. Marwan, K. H. Kraemer: Trends in recurrence analysis of dynamical systems, European Physical Journal – Special Topics, 232, 5–27 (2023). DOI:10.1140/epjs/s11734-022-00739-8 » Abstract
N. Marwan: Challenges and perspectives in recurrence analyses of event time series, Frontiers in Applied Mathematics and Statistics, 9, 1129105 (2023). DOI:10.3389/fams.2023.1129105 » Abstract
N. Marwan: Nichtlineare Zeitreihenanalyse, In: Python-Rezepte für die Geowissenschaften (1. edition), Eds.: M. H. Trauth, Springer Spektrum, Berlin, Heidelberg, ISBN: 978-3-662-68117-6, 204–226 (2024). DOI:10.1007/978-3-662-68118-3_5 » Abstract
S. Masalegoo, A. Soleimani, H. Saeedi: Experimental fault detection of rotating machinery through chaos-based tools of recurrence plot and recurrence quantitative analysis, Archive of Applied Mechanics, 93, 1259–1272 (2023). DOI:10.1007/s00419-022-02326-8 » Abstract
L. Mastroeni, P. Vellucci, M. Naldi: Co-existence of stochastic and chaotic behaviour in the copper price time series, Resources Policy, 58, 295–302 (2018). DOI:10.1016/j.resourpol.2018.05.019 » Abstract
L. Mastroeni, P. Vellucci, M. Naldi: A reappraisal of the chaotic paradigm for energy commodity prices, Energy Economics, 82, 167–178 (2019). DOI:10.1016/j.eneco.2018.04.024 » Abstract
L. Mastroeni, P. Vellucci: Replication in Energy Markets: Use and Misuse of Chaos Tools, Entropy, 24(5), 701 (2022). DOI:10.3390/e24050701 » Abstract
L. Mastroeni, P. Vellucci: Construction of an SDE Model from Intraday Copper Futures Prices, Risks, 10(11), 218 (2022). DOI:10.3390/risks10110218 » Abstract
L. Mastroeni, A. Mazzoccoli, P. Vellucci: Wavelet entropy and complexity-entropy curves approach for energy commodity price predictability amid the transition to alternative energy sources, Chaos, Solitons & Fractals, 184, 115005 (2024). DOI:10.1016/j.chaos.2024.115005 » Abstract
N. Masuda, P. Holme: Detecting sequences of system states in temporal networks, Scientific Reports, 9, 795 (2019). DOI:10.1038/s41598-018-37534-2 » Abstract
M. Masugi: Recurrence Plot-Based Approach to the Analysis of IP-Network Traffic in Terms of Assessing Nonstationary Transitions Over Time, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 53(10), 2318–2326 (2006). DOI:10.1109/TCSI.2006.883155 » Abstract
M. Masugi: Applying a Recurrence Plot Scheme to Analyze Non-stationary Transition Patterns of IP-network Traffic, Communications in Nonlinear Science and Numerical Simulation, 14(4), 1418–1430 (2009). DOI:10.1016/j.cnsns.2008.01.001 » Abstract
M. Mat, R. Mamat, S. Sapee, A. Yusop, M. Ali: Analysis of cylinder pressure cyclic variability operating with butanol blends in a diesel engine, IOP Conference Series: Materials Science and Engineering, 736(3), 032022 (2020). DOI:10.1088/1757-899X/736/3/032022 » Abstract
L. Matassini, C. Manfredi: Software corrections of vocal disorders, Computer Methods and Programs in Biomedicine, 68(2), 135–145 (2002). DOI:10.1016/S0169-2607(01)00161-4 » Abstract
L. Matassini, H. Kantz, J. A. Holyst, R. Hegger: Optimizing of recurrence plots for noise reduction, Physical Review E, 65(2), 021102 (2002). DOI:10.1103/PhysRevE.65.021102 » Abstract
T. Matcharashvili, T. Chelidze, M. Janiashvili: Identification of complex processes based on analysis of phase space structures, In: NATO Security through Science Series: Imaging for Detection and Identification, Eds.: J. Byrnes, Springer Netherlands, 207–242 (2007). DOI:10.1007/978-1-4020-5620-8_11 » Abstract
T. Matcharashvili, T. Chelidze, J. Peinke: Increase of order in seismic processes around large reservoir induced by water level periodic variation, Nonlinear Dynamics, 51(3), 399–407 (2008). DOI:10.1007/s11071-007-9219-0 » Abstract
T. Matcharashvili, T. Chelidze, N. Zhukova, E. Mepharidze: Investigation of acoustic emission accompanying stick-slip movement of rock samples at different stiffnesses of spring–block system, Tribology International, 44(7–8), 811–819 (2011). DOI:10.1016/j.triboint.2011.02.005 » Abstract
T. Matcharashvili, N. I. Jibladze, T. G. Iluridze, T. T. Matcharashvili, A. L. Topchishvili: Scale depending variations of distribution and dynamic features of US Dollar/Georgian Lari exchange rate, Model Assisted Statistics and Applications, 7(4), 281–289 (2012). DOI:10.3233/MAS-2012-0240 » Abstract
T. Matcharashvili, T. Chelidze, N. Zhukova: Influence of High Energy Electromagnetic Pulses on the Dynamics of the Seismic Process Around the Bishkek Test Area (Central Asia), Pure and Applied Geophysics, 172(7), 1893–1908 (2015). DOI:10.1007/s00024-014-0860-5 » Abstract
T. Matcharashvili, T. Chelidze, Z. Javakhishvili, N. Zhukova, N. Jorjiashvili, I. Shengelia, E. Mepharidze, A. Sborshchikovi: Analysis of the Complexity of Seismic Data Sets: Case Study for Caucasus, In: Complexity of Seismic Time Series: Measurement and Application, Eds.: T. Chelidze and F. Vallianatos and L. Telesca, Elsevier, 3–24 (2018). DOI:10.1016/B978-0-12-813138-1.00001-8 » Abstract
T. Matcharashvili, T. Hatano, T. Chelidze, N. Zhukova: Simple statistics for complex Earthquake time distributions, Nonlinear Processes in Geophysics, 25(3), 497–510 (2018). DOI:10.5194/npg-25-497-2018 » Abstract
M. Mateescu, S. Kauffeld: Interactive external representations for knowledge-building processes and performance in dyads: An experimental study, Computers in Human Behavior Reports, 16, 100519 (2024). DOI:10.1016/j.chbr.2024.100519 » Abstract
B. Mathunjwa, Y. Lin, C. Lin, M. Abbod, J. Shieh: ECG arrhythmia classification by using a recurrence plot and convolutional neural network, Biomedical Signal Processing and Control, 64, 102262 (2021). DOI:10.1016/j.bspc.2020.102262 » Abstract
B. Mathunjwa, Y. Lin, C. Lin, M. Abbod, M. Sadrawi, J. Shieh: ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features, Sensors, 22(4), 1660 (2022). DOI:10.3390/s22041660 » Abstract
S. Matin, C. Pun, H. Gould, W. Klein: Effective ergodicity breaking phase transition in a driven-dissipative system, Physical Review E, 101(2), 022103 (2020). DOI:10.1103/PhysRevE.101.022103 » Abstract
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D. Mayor, D. Panday, H. K. Kandel, T. Steffert, D. Banks: CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals, Entropy, 23(3), 321 (2021). DOI:10.3390/e23030321 » Abstract
M. Mazaheri, M. Salavati, H. Negahban, M. A. Sanjari, M. Parnianpour: Postural sway in low back pain: Effects of dual tasks, Gait & Posture, 31(1), 116–121 (2010). DOI:10.1016/j.gaitpost.2009.09.009 » Abstract
M. Mazaheri, H. Negahban, M. Salavati, M. A. Sanjari, M. Parnianpour: Reliability of recurrence quantification analysis measures of the center of pressure during standing in individuals with musculoskeletal disorders, Medical Engineering & Physics, 32(7), 808–812 (2010). DOI:10.1016/j.medengphy.2010.04.019 » Abstract
S. Mazumdar, A. S. Kumar: Statistical Analysis of a Data Centre Resource Usage Patterns: A Case Study, Lecture Notes in Networks and Systems, 24, 767–779 (2018). DOI:10.1007/978-981-10-6890-4_73 » Abstract
J. McCamley, W. Denton, E. Lyden, J. M. Yentes: Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis, Computational and Mathematical Methods in Medicine, 2017, 7960467 (2017). DOI:10.1155/2017/7960467fkeywogg » Abstract
J. McCamley, E. Bergamini, E. Grimpampi: Balance on different unstable supports: a complementary approach based on linear and non-linear analyses, Medical & Biological Engineering & Computing, 60(3), 863–873 (2022). DOI:10.1007/s11517-022-02504-4 » Abstract
A. McCann, A. Luca, E. Pruvot, L. Roten, C. Sticherling, J.-M. Vesin: Ventricular response regularity in atrial fibrillation and its relationship to successful catheter ablation, Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), 910–914 (2020). DOI:10.23919/Eusipco47968.2020.9287369 » Abstract
A. McCann, A. Luca, E. Pruvot, L. Roten, C. Sticherling, J. Vesin: Ventricular response regularity in atrial fibrillation and its relationship to successful catheter ablation, Proceedings of the European Signal Processing Conference (EUSIPCO 2020), 2021-January, 910–914 (2021). DOI:10.23919/Eusipco47968.2020.9287369 » Abstract
E. McCary, Y. Xiao: Home area network accountability with varying consumption devices in smart grid, Security and Communication Networks, 9(10), 977–995 (2016). DOI:10.1002/sec.1393 » Abstract
M. McConnell, B. Schwerin, S. So, B. Richards: RR-APET – Heart rate variability analysis software, Computer Methods and Programs in Biomedicine, 185, 105127 (2020). DOI:10.1016/j.cmpb.2019.105127
E. McCormick, L. Blaha: Practical Interpretation and Insights with Recurrence Quantification Analysis for Decision Making Research, Proceedings of the 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds (CogSci 2021), 43, 13–14 (2021). https://escholarship.org/uc/item/39q433xv » Abstract
M. P. McCullough, R. Huffaker, T. L. Marsh: Endogenously Determined Cycles: Empirical Evidence from Livestock Industries, Nonlinear Dynamics, Psychology, and Life Sciences, 16(2), 205–231 (2012). » Abstract
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A. B. Medvinsky, B. V. Adamovich, A. V. Rusakov, D. Tikhonov, N. I. Nurieva, V. Tereshko: Population Dynamics: Mathematical Modeling and Reality, Biophysics, 64(6), 956–977 (2019). DOI:10.1134/S0006350919060150 » Abstract
A. B. Medvinsky, A. V. Rusakov, B. V. Adamovich, T. M. Mikheyeva, N. I. Nurieva: Determinism versus randomness in plankton dynamics: Tshe analysis of noisy time series based on the recurrence plots, Russian Journal of Numerical Analysis and Mathematical Modelling, 34(4), 187–196 (2019). DOI:10.1515/rnam-2019-0016 » Abstract
M. Megalingam, B. Sarma, V. Mitra, N. Hari Prakash, A. Sarma: Oscillating plasma bubble and its associated nonlinear studies in presence of low magnetic field, Physics of Plasmas, 23(7), 072102 (2016). DOI:10.1063/1.4954297 » Abstract
M. Megalingam, N. Hari Prakash, I. Solomon, A. Sarma, B. Sarma: Irregular-regular mode oscillations inside plasma bubble and its fractal analysis in glow discharge magnetized plasma, Physics of Plasmas, 24, 042304 (2017). DOI:10.1063/1.4979891 » Abstract
M. Megalingam, B. Sarma, A. Sarma: Characteristic behaviour of plasma fluctuations inside a plasma bubble in presence of a magnetic field due to the formation of a potential well, Contributions to Plasma Physics, 59(7), e201800104 (2019). DOI:10.1002/ctpp.201800104 » Abstract
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J. Petrzela: Chaotic systems based on higher-order oscillatory equations, Scientific Reports, 14, 21075 (2024). DOI:10.1038/s41598-024-72034-6 » Abstract
T. D. Pham, T. Abe, R. Oka, Y. Chen: Measures of Morphological Complexity of Gray Matter on Magnetic Resonance Imaging for Control Age Grouping, Entropy, 17(12), 8130–8151 (2015). DOI:10.3390/e17127868 » Abstract
T. D. Pham: Fuzzy recurrence plots, Europhysics Letters, 116(5), 50008 (2016). DOI:10.1209/0295-5075/116/50008 » Abstract
T. D. Pham: From fuzzy recurrence plots to scalable recurrence networks of time series, Europhysics Letters, 118(2), 20003 (2017). DOI:10.1209/0295-5075/118/20003 » Abstract
T. D. Pham: Texture Classification and Visualization of Time Series of Gait Dynamics in Patients With Neuro-Degenerative Diseases, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(1), 188–196 (2018). DOI:10.1109/TNSRE.2017.2732448 » Abstract
T. D. Pham: Pattern analysis of computer keystroke time series in healthy control and early-stage Parkinson's disease subjects using fuzzy recurrence and scalable recurrence network features, Journal of Neuroscience Methods, 307, 194–202 (2018). DOI:10.1016/j.jneumeth.2018.05.019 » Abstract
T. D. Pham: Fuzzy weighted recurrence networks of time series, Physica A, 513, 409–417 (2018). DOI:10.1016/j.physa.2018.09.035 » Abstract
T. D. Pham, H. Yan: Spatial-dependence recurrence sample entropy, Physica A, 494, 581–590 (2018). DOI:10.1016/j.physa.2017.12.015 » Abstract
T. D. Pham: Pattern analysis and classification of blood oxygen saturation signals with nonlinear dynamics features, Proceedings of the IEEE International Conference on Biomedical and Health Informatics (EMBS 2018), BHI 2018, 112–115 (2018). DOI:10.1109/BHI.2018.8333382 » Abstract
T. D. Pham, M. Oyama-Higa: Nonlinear dynamics analysis of short-time photoplethysmogram in parkinson's disease, Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE 2018), 1–4 (2018). DOI:10.1109/FUZZ-IEEE.2018.8491529 » Abstract
T. D. Pham, K. Wardell, A. Eklund, G. Salerud: Classification of short time series in early Parkinson's disease with deep learning of fuzzy recurrence plots, IEEE/CAA Journal of Automatica Sinica, 6(6), 1306–1317 (2019). DOI:10.1109/JAS.2019.1911774 » Abstract
T. D. Pham: The Recurrence Dynamics of Personalized Depression, ACM International Conference Proceeding Series, 38 (2020). DOI:10.1145/3373017.3373057 » Abstract
T. D. Pham: Fuzzy recurrence entropy, Europhysics Letters, 130(4), 40004 (2020). DOI:10.1209/0295-5075/130/40004 » Abstract
T. D. Pham: Fuzzy cross and fuzzy joint recurrence plots, Physica A, 540, 123026 (2020). DOI:10.1016/j.physa.2019.123026 » Abstract
T. D. Pham: Visual Computing of Causality in Personalized Depression, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), 2020, 5510–5513 (2020). DOI:10.1109/EMBC44109.2020.9176637 » Abstract
T. D. Pham: Recurrence eigenvalues of movements from brain signals, Brain Informatics, 8(1), 22 (2021). DOI:10.1186/s40708-021-00143-3 » Abstract
T. D. Pham: Convolutional fuzzy recurrence eigenvalues, Europhysics Letters, 135(2), 20002 (2021). DOI:10.1209/0295-5075/ac0df8 » Abstract
T. D. Pham: From Raw Pixels to Recurrence Image for Deep Learning of Benign and Malignant Mediastinal Lymph Nodes on Computed Tomography, IEEE Access, 9, 96267–96278 (2021). DOI:10.1109/ACCESS.2021.3094577 » Abstract
M. Pham, H. M. Do, Z. Su, A. Bishop, W. Sheng: Negative Emotion Management Using a Smart Shirt and a Robot Assistant, IEEE Robotics and Automation Letters, 6(2), 4040–4047 (2021). DOI:10.1109/LRA.2021.3067867 » Abstract
T. D. Pham: Fuzzy Recurrence Exponents of Subcellular-Nanostructure Dynamics in Time-Lapse Confocal Imaging, IEEE Transactions on Nanobioscience, 20(4), 497–506 (2021). DOI:10.1109/TNB.2021.3105533 » Abstract
T. D. Pham, F. Al: Fuzzy cross recurrence analysis and tensor decomposition of major-depression time-series data, Proceedings of the International Conference on Data Science, E-learning and Information Systems (DATA'21), 28–34 (2021). DOI:10.1145/3460620.3460626 » Abstract
T. D. Pham: Fusion of Momentary Moods in Major Depression with Fuzzy Recurrence Analysis and Tensor Decomposition, Proceedings of the International Conference on Electrical, Computer, and Energy Technologies (ICECET 2021), 9698467 (2021). DOI:10.1109/ICECET52533.2021.9698467 » Abstract
T. D. Pham: Time–frequency time–space LSTM for robust classification of physiological signals, Scientific Reports, 11(1), 6936 (2021). DOI:10.1038/s41598-021-86432-7 » Abstract
T. D. Pham: Identifying critical transitions in major depression with fuzzy recurrence entropy, All Life, 15(1), 1086–1100 (2022). DOI:10.1080/26895293.2022.2132017 » Abstract
T. D. Pham: Quantification analysis of fuzzy recurrence plots, Europhysics Letters, 137(6), 62002 (2022). DOI:10.1209/0295-5075/ac5b9a » Abstract
T. D. Pham: Deep Learning of Recurrence Texture in Physiological Signals, Lecture Notes in Computer Science, 13196 LNAI, 503–514 (2022). DOI:10.1007/978-3-031-08421-8_35 » Abstract
T. D. Pham: Classification of ECG Signals of Heart Beats Using Tf-Ts Lstm with Augmented Fuzzy Recurrence Eigenvalues, Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022), , (2022). DOI:10.1109/IVMSP54334.2022.9816174 » Abstract
T. D. Pham: Visual Concurrent Analysis of Gait Patterns Among Healthy Young, Old Adults, and Patients With Parkinson's Disease, Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2022), , 2674–2681 (2022). DOI:10.1109/BIBM55620.2022.9995627 » Abstract
T. D. Pham: Deep time-recurrence features, Europhysics Letter, 142(5), 51001 (2023). DOI:10.1209/0295-5075/acd71b » Abstract
T. D. Pham, V. Ravi, C. Fan, B. Luo, X. Sun: Classification of IHC Images of NATs with ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients, IEEE Journal of Translational Engineering in Health and Medicine, 11, 87–95 (2023). DOI:10.1109/JTEHM.2022.3229561 » Abstract
T. D. Pham: Classification of Motor-Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers Learning on Wavelet-Scattering Features, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 1097–1107 (2023). DOI:10.1109/TNSRE.2023.3241241 » Abstract
T. D. Pham: Classification of Caenorhabditis Elegans Locomotion Behaviors With Eigenfeature-Enhanced Long Short-Term Memory Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(1), 206–216 (2023). DOI:10.1109/TCBB.2022.3153668 » Abstract
T. D. Pham, S. B. Holmes, L. Zou, M. Patel, P. Coulthard: Diagnosis of pathological speech with streamlined features for long short-term memory learning, Computers in Biology and Medicine, 170, 107976 (2024). DOI:10.1016/j.compbiomed.2024.107976 » Abstract
T. D. Pham, S. B. Holmes, M. Patel, P. Coulthard: Features and networks of the mandible on computed tomography, Royal Society Open Science, 11(1), 231166 (2024). DOI:10.1098/rsos.231166 » Abstract
R. A. Phillipson, P. T. Boyd, A. P. Smale: The chaotic long-term X-ray variability of 4U 1705-44, Monthly Notices of the Royal Astronomical Society, 477(4), 5220–5237 (2018). DOI:10.1093/mnras/sty970 » Abstract
R. A. Phillipson, P. T. Boyd, A. P. Smale, M. S. Vogeley: Complex variability of Kepler AGN revealed by recurrence analysis, Monthly Notices of the Royal Astronomical Society, 497(3), 3418–3439 (2020). DOI:10.1093/mnras/staa2069 » Abstract
R. A. Phillipson, M. S. Vogeley, P. T. Boyd: Investigating non-linear and stochastic hard X-ray variability of active galactic nuclei using recurrence analysis, Monthly Notices of The Royal Astronomical Society, 518(3), 4372–4390 (2023). DOI:10.1093/mnras/stac3419 » Abstract
F. Piazza, H. Ritsch: Self-Ordered Limit Cycles, Chaos, and Phase Slippage with a Superfluid inside an Optical Resonator, Physical Review Letters, 115(16), 163601 (2015). DOI:10.1103/PhysRevLett.115.163601 » Abstract
E. Piedad, Y. Chen, H. Chang, C. Kuo: Frequency occurrence plot-based convolutional neural network for motor fault diagnosis, Electronics, 9(10), 1–17 (2020). DOI:10.3390/electronics9101711 » Abstract
L. Pietrych: Identification of the (deterministic or random) nature of the wheat price variability with the application of recurrence quantification analysis, Proceedings of the International Scientific Conference – Economic Sciences for Agribusiness and Rural Economy 2018, 2, 130–135 (2018). DOI:10.22630/ESARE.2018.2.16 » Abstract
V. Pilipchuk: Stochastic energy absorbers based on analogies with soft-wall billiards, Nonlinear Dynamics, 98, 2671–2658 (2019). DOI:10.1007/s11071-019-05109-z » Abstract
V. Pilipchuk: Design of energy absorbing metamaterials using stochastic soft-wall billiards, Symmetry, 13(10), 1798 (2021). DOI:10.3390/sym13101798 » Abstract
I. I. L. D. Pinto, Z. Zhou, J. O. Garcia, R. Srinivasan: Symbolic dynamics of joint brain states during dyadic coordination, Chaos, 35(1), 013110 (2025). DOI:10.1063/5.0234902 » Abstract
T. Pistorius, C. Aldrich, L. Auret, J. Pineda: Early Detection of Risk of Autism Spectrum Disorder based on Recurrence Quantification Analysis of Electroencephalographic Signals, Proceedings of the 6th International IEEE/EMBS Conference on Neural Engineering (NER2013), 198–201 (2013). DOI:10.1109/NER.2013.6695906 » Abstract
E. Pitsik, N. Frolov: Recurrence plot structures reflect motor-related eeg pattern, Cybernetics and Physics, 8(4), 282–286 (2019). DOI:10.35470/2226-4116-2019-8-4-282-286 » Abstract
E. Pitsik: Recurrence plot structure of motor-related human EEG, Proceedings of the 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR 2019), 139–141 (2019). DOI:10.1109/DCNAIR.2019.8875533 » Abstract
E. Pitsik: Time-frequency and recurrence quantification analysis detect limb movement execution from EEG data, Proceedings of the 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR 2019), 142–144 (2019). DOI:10.1109/DCNAIR.2019.8875596 » Abstract
E. Pitsik, N. Frolov, K. H. Kraemer, V. Grubov, V. A. Maksimenko, J. Kurths, A. E. Hramov: Motor execution reduces EEG signals complexity: Recurrence quantification analysis study featured, Chaos, 30, 023111 (2020). DOI:10.1063/1.5136246 » Abstract
E. Pitsik, N. Frolov: Features of motor-related brain activity revealed via recurrence quantification analysis, Proceedings of SPIE – Progress in Biomedical Optics and Imaging, 11459, 1145904 (2020). DOI:10.1117/12.2563542 » Abstract
E. Pitsik, N. Frolov, A. Kiselev, N. Shchukovskii, A. Badarin, V. Grubov: Motor-related elderly brain activity revealed via recurrence quantification analysis, Proceedings of the International Conference on Nonlinearity, Information and Robotics (NIR 2020), 9290221 (2020). DOI:10.1109/NIR50484.2020.9290221 » Abstract
E. Pitsik: Recurrence quantification analysis provides the link between age-related decline in motor brain response and complexity of the baseline EEG, Applied Nonlinear Dynamics/ Izvestiya Vysshikh Uchebnykh Zavedeniy-prikladnaya Nelineynaya Dinamika, 29(3), 386–397 (2021). DOI:10.18500/0869-6632-2021-29-3-386-397 » Abstract
E. Pitsik, N. Frolov: Recurrence quantification analysis detects P300 on single-trial EEG, Proceedings of the 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA 2021), 155–158 (2021). DOI:10.1109/DCNA53427.2021.9586886 » Abstract
E. Pitsik: Recurrence Quantification Analysis of P300 Event-Related Potential on Single-Trial EEG, Bulletin of the Russian Academy of Sciences: Physics, 86(2), 211–215 (2022). DOI:10.3103/S1062873822020241 » Abstract
P. Piu, V. Serchi, F. Rosini, A. Rufa: A Cross-Recurrence Analysis of the Pupil Size Fluctuations in Steady Scotopic Conditions, Frontiers in Neuroscience, 13, 407 (2019). DOI:10.3389/fnins.2019.00407 » Abstract
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D. Pleydell, I. Ndong, F. Djondzo, D. Djomsi, C. Kouanfack, M. Peeters, J. Cappelle: A Bayesian analysis of birth pulse effects on the probability of detecting Ebola virus in fruit bats, Peer Community Journal, 4, e39 (2024). DOI:10.24072/pcjournal.380 » Abstract
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M. Pollind, R. Soangra: Development and Validation of Wearable Inertial Sensor System for Postural Sway Analysis, Measurement, 165, 108101 (2020). DOI:10.1016/j.measurement.2020.108101 » Abstract
M. Pollind, R. Soangra: Mini-Logger- A Wearable Inertial Measurement Unit (IMU) for Postural Sway Analysis, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2020), 2020-July, 4600–4603 (2020). DOI:10.1109/EMBC44109.2020.9175167 » Abstract
D. I. Ponyavin, N. V. Zolotova: Cross Recurrence Plots Analysis of the North-South Sunspot Activities, Proceedings of the International Astronomical Union, 2004(IAUS223), 141–142 (2005). DOI:10.1017/S1743921304005447 » Abstract
D. I. Ponyavin: Solar Cycle Signal in Geomagnetic Activity and Climate, Solar Physics, 224(1–2), 465–471 (2005). DOI:10.1007/s11207-005-4979-5 » Abstract
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A. Porrello, S. Soddu, J. P. Zbilut, M. Crescenzi, A. Giuliani: Discrimination of Single Amino Acid Mutations of the p53 Protein by Means of Deterministic Singularities of Recurrence Quantification Analysis, Proteins: Structure, Function, and Bioinformatics, 55, 743–755 (2004). DOI:10.1002/prot.20075 » Abstract
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B. Pospelov, V. Andronov, E. Rybka, R. Meleshchenko, P. Borodych: Studying the recurrent diagrams of carbon monoxide concentration at early ignitions in premises, Eastern-European Journal of Enterprise Technologies, 3(9), 34–40 (2018). DOI:10.15587/1729-4061.2018.133127 » Abstract
B. Pospelov, V. Andronov, R. Meleshchenko, Y. Danchenko, I. Artemenko, M. Romaniak, A. Khmyrova, T. Butenko: Construction of methods for computing recurrence plots in space with a scalar product, Eastern-European Journal of Enterprise Technologies, 3(4), 37–44 (2019). DOI:10.15587/1729-4061.2019.169887 » Abstract
B. Pospelov, E. Rybka, V. Togobytska, R. Meleshchenko, Y. Danchenko, T. Butenko, I. Volkov, O. Gafurov, V. Yevsieiev: Construction of the method for semi-adaptive threshold scaling transformation when computing recurrent plots, Eastern-European Journal of Enterprise Technologies, 4(10), 22–29 (2019). DOI:10.15587/1729-4061.2019.176579 » Abstract
B. Pospelov, R. Meleshchenko, A. Kosse, I. Khmyrov, V. Bosniuk: Development of a method for predicting the recurrence of states of atmospheric air pollution concentration in industrial cities, Eastern-European Journal of Enterprise Technologies, 2(10), 43–48 (2019). DOI:10.15587/1729-4061.2019.162652 » Abstract
B. Pospelov, V. Andronov, E. Rybka, O. Krainiukov, K. Karpets, O. Pirohov, I. Semenyshyna, R. Kapitan, A. Promska, O. Horbov: Development of the correlation method for operative detection of recurrent states, Eastern-European Journal of Enterprise Technologies, 6(4–102), 39–46 (2019). DOI:10.15587/1729-4061.2019.187252 » Abstract
B. Pospelov, E. Rybka, R. Meleshchenko, P. Borodych, S. Gornostal: Development of the method for rapid detection of hazardous atmospheric pollution of cities with the help of recurrence measures, Eastern-European Journal of Enterprise Technologies, 1(10), 29–35 (2019). DOI:10.15587/1729-4061.2019.155027 » Abstract
B. Pospelov, O. Krainiukov, A. Savchenko, S. Harbuz, O. Cherkashyn, S. Shcherbak, I. Rolin, V. Temnikov: Development of the method operative calculation the recurrent diagrams for non-regular measurements, Eastern-European Journal of Enterprise Technologies, 5(4), 26–33 (2019). DOI:10.15587/1729-4061.2019.181516 » Abstract
B. Pospelov, V. Andronov, E. Rybka, O. Krainiukov, N. Maksymenko, R. Meleshchenko, Y. Bezuhla, I. Hrachova, R. Nesterenko, A. Shumilova: Mathematical model of determining a risk to the human health along with the detection of hazardous states of urban atmosphere pollution based on measuring the current concentrations of pollutants, Eastern-European Journal of Enterprise Technologies, 4(10), 37–44 (2020). DOI:10.15587/1729-4061.2020.210059 » Abstract
M. Potse, A. Vinet, A. Gharaviri, S. Pezzuto: Fibrillation patterns creep and jump in a detailed three-dimensional model of the human atria, Lecture Notes in Computer Science, 11504, 131–138 (2019). DOI:10.1007/978-3-030-21949-9_15 » Abstract
A. Pourmoghaddam, M. Dettmer, D. P. O'Connor, W. H. Paloski, C. S. Layne: Identification of changing lower limb neuromuscular activation in PARKINSon's disease during treadmill gait with and without levodopa using a nonlinear analysis index, Parkinson's Disease, 2015, 497825 (2015). DOI:10.1155/2015/497825 » Abstract
A. Pourmoghaddam, M. Dettmer, D. P. O'Connor, W. H. Paloski, C. S. Layne: Measuring multiple neuromuscular activation using EMG – a generalizability analysis, Biomedical Engineering/ Biomedizinische Technik, 61(6), 595–605 (2016). DOI:10.1515/bmt-2015-0037 » Abstract
A. Pourmoghaddam, M. Dettmer, S. J. K. Malanka, M. Veverka, D. P. O'Connor, W. H. Paloski, C. S. Layne: Assessing multiple muscle activation during squat movements with different loading conditions – an EMG study, Biomedical Engineering/ Biomedizinische Technik, 63(4), 413–420 (2017). DOI:10.1515/bmt-2016-0226 » Abstract
L. Powrosnek, J. Coninck, M. Antoniassi, R. Kamikawachi, R. Veiga, J. De: Cell Lines Molecular Classification by FT-IR Spectroscopy Using the Recurrence Quantification Analysis (RQA) Technique, Proceedings of the SBFoton International Optics and Photonics Conference (SBFoton IOPC 2019), 8910180 (2019). DOI:10.1109/SBFoton-IOPC.2019.8910180 » Abstract
S. Prabhakar, H. Rajaguru, S. Kim: Schizophrenia EEG signal classification based on swarm intelligence computing, Computational Intelligence and Neuroscience, 2020, 8853835 (2020). DOI:10.1155/2020/8853835 » Abstract
P. Prabhu, A. K. Karunakar, H. Anitha, N. Pradhan: Classification of gait signals into different neurodegenerative diseases using statistical analysis and recurrence quantification analysis, Pattern Recognition Letters, 139, 10–16 (2020). DOI:10.1016/j.patrec.2018.05.006 » Abstract
D. W. Prabowo, H. A. Nugroho, N. A. Setiawan, J. Debayle: An Advanced Data Augmentation Scheme on Limited EEG Signals for Human Emotion Recognition, Lecture Notes in Electrical Engineering, 1008, 391–409 (2023). DOI:10.1007/978-981-99-0248-4_27 » Abstract
D. W. Prabowo, N. A. Setiawan, J. Debayle, H. A. Nugroho: Multi-Representation Convolutional Neural Network to Recognize Human Emotion, Proceedings of the 8th International Conference on Information Technology and Digital Applications (ICITDA 2023), 1–6 (2023). DOI:10.1109/ICITDA60835.2023.10427131 » Abstract
N. Y. Pradanya, N. A. Setiawan, S. Kusrohmaniah: Application of Asymmetric Windowing Recurrence Plots in ECG Signal Encoding for Emotion Classification, Proceedings of the 5th International Conference on Biomedical Engineering 2024 (IBIOMED 2024), 151–156 (2024). DOI:10.1109/iBioMed62485.2024.10875674 » Abstract
A. Pradeep, S. Anupama, C. Sudheesh: Dynamics of observables in a q-deformed harmonic oscillator, European Physical Journal D, 74(1), 3 (2020). DOI:10.1140/epjd/e2019-100436-y » Abstract
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T. D. L. Prado, G. Z. dos Santos Lima, B. Lobao-Soares, G. C. Do Nascimento, G. Corso, J. Fontenele-Araujo, J. Kurths, S. R. Lopes: Optimizing the detection of nonstationary signals by using recurrence analysis, Chaos, 28(8), 085703 (2018). DOI:10.1063/1.5022154 » Abstract
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T. D. L. Prado, E. E. N. Macau, S. R. Lopes: Detection of data corruption in stationary time series using recurrence microstates probabilities, European Physical Journal – Special Topicrs, 230, 2737–2744 (2021). DOI:10.1140/epjs/s11734-021-00169-y » Abstract
T. D. L. Prado, B. R. R. Boaretto, G. Corso, G. Dos, J. Kurths, S. R. Lopes: A direct method to detect deterministic and stochastic properties of data, New Journal of Physics, 24(3), 033027 (2022). DOI:10.1088/1367-2630/ac5057 » Abstract
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J. Prakash, P. K. Kankar, A. Miglani: Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions, Journal of Computing and Information Science in Engineering, 21(6), 061010 (2021). DOI:10.1115/1.4050821 » Abstract
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D. M. Walker, A. Tordesillas, J. Ren, J. A. Dijksman, R. P. Behringer: Uncovering temporal transitions and self-organization during slow aging of dense granular media in the absence of shear bands, Europhysics Letters, 107(1), 18005 (2014). DOI:10.1209/0295-5075/107/18005 » Abstract
D. M. Walker, T. Stemler, M. Small: Time series network induced subgraph distance as a metonym for dynamical invariants, Europhysics Letters, 124(4), 40001 (2018). DOI:10.1209/0295-5075/124/40001 » Abstract
D. M. Walker, A. Zaitouny, D. C. Corrêa: On using the modularity of recurrence network communities to detect change-point behaviour, Expert Systems with Applications, 176, 114837 (2021). DOI:10.1016/j.eswa.2021.114837 » Abstract
S. Wallot, G. C. Van Orden: Toward a Lifespan Metric of Reading Fluency, International Journal of Bifurcation and Chaos, 21(4), 1173–1192 (2011). DOI:10.1142/S0218127411028982 » Abstract
S. Wallot, R. Fusaroli, K. Tylén, E. M. Jegindo: Using complexity metrics with R-R intervals and BPM heart rate measures, Frontiers in Physiology, 4, 211 (2013). DOI:10.3389/fphys.2013.00211 » Abstract
S. Wallot, G. Hollis, M. van Rooij: Connected Text Reading and Differences in Text Reading Fluency in Adult Readers, PLoS ONE, 8(8), e71914 (2013). DOI:10.1371/journal.pone.0071914 » Abstract
S. Wallot, B. A. O'Brien, A. Haussmann, H. Kloos, M. S. Lyby: The Role of Reading Time Complexity and Reading Speed in Text Comprehension, Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(6), 1745–1765 (2014). DOI:10.1037/xlm0000030 » Abstract
S. Wallot, A. Roepstorff, D. Monster: Multidimensional Recurrence Quantification Analysis (MdRQA) for the Analysis of Multidimensional Time-Series: A Software Implementation in MATLAB and Its Application to Group-Level Data in Joint Action, Frontiers in Psychology, 7, 1–13 (2016). DOI:10.3389/fpsyg.2016.01835 » Abstract
S. Wallot: Recurrence Quantification Analysis of Processes and Products of Discourse: A Tutorial in R, Discourse Processes, 54(5–6), 382–405 (2017). DOI:10.1080/0163853X.2017.1297921 » Abstract
S. Wallot, G. Leonardi: Deriving inferential statistics from recurrence plots: A recurrence-based test of differences between sample distributions and its comparison to the two-sample Kolmogorov-Smirnov test, Chaos, 28(8), 085712 (2018). DOI:10.1063/1.5024915 » Abstract
S. Wallot, G. Leonardi: Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A Tutorial in R, Frontiers in Psychology, 9, 2232 (2018). DOI:10.3389/fpsyg.2018.02232 » Abstract
S. Wallot, D. Monster: Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab, Frontiers in Psychology, 9, 1679 (2018). DOI:10.3389/fpsyg.2018.01679 » Abstract
S. Wallot, J. Grabowski: A Tutorial Introduction to Recurrence Quantification Analysis (RQA) for Keystroke Logging Data, In: Observing Writing, Eds.: E. Lindgren and K. Sullivan, Brill, Leiden, 163–189 (2019). DOI:10.1163/9789004392526_009 » Abstract
S. Wallot: Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series, Multivariate Behavioral Research, 54(2), 173–191 (2019). DOI:10.1080/00273171.2018.1512846 » Abstract
S. Wallot, J. T. Lee, D. G. Kelty-Stephen: Switching between reading tasks leads to phase-transitions in reading times in L1 and L2 readers, Plos One, 14(2), e0211502 (2019). DOI:10.1371/journal.pone.0211502 » Abstract
M. Walz, C. Lehsing, K. Bengler, S. Will, M. Sich: Impacts of an Intersection Assistance System: Social Interaction between Drivers and Motorcyclists, Proceedings of the 9th International Conference on Computer and Automation Engineering (ICCAE '17), F127852, 279–286 (2017). DOI:10.1145/3057039.3057077 » Abstract
X. Wan, Y. Yamada: Changes in the determinism of the gait dynamics with the intervention of a robotic walker, Applied Sciences, 10(14), 4939 (2020). DOI:10.3390/app10144939 » Abstract
X. Wan, Y. Yamada: An Acceleration-Based Nonlinear Time Series Analysis of Effects of Robotic Walkers on Gait Dynamics During Assisted Walking, IEEE Sensors Journal, 22(21), 1–1 (2022). DOI:10.1109/JSEN.2022.3206545 » Abstract
J.-S. Wang, R.-X. Yuan, Z.-W. Gao, D.-J. Wang: Hopf bifurcation and uncontrolled stochastic traffic-induced chaos in an RED-AQM congestion control system, Chinese Physics B, 20(9), 090506 (2011). DOI:10.1088/1674-1056/20/9/090506 » Abstract
X. Wang, G. Bi, S. Chen, Z. Zu: A Method to Analyze Power System Quality Disturbing Signal Based on Recurrence Quantification Analysis, Procedia Engineering, 15, 4115–4121 (2011). DOI:dx.doi.org/10.1016/j.proeng.2011.08.772 » Abstract
J. Wang: Degree of voltage flicker based on recursive real-time detection method, Proceedings of the IEEE Power Engineering and Automation Conference (PEAM2011), 2, 322–325 (2011). DOI:10.1109/PEAM.2011.6134953 » Abstract
Z.-F. Wang, S.-G. Ma, L. Bin, Y.-C. Wang: Simulation and Experimental Study of an Energy-based Control Method for the Serpentine Locomotion of a Snake-like Robot, Zidonghua Xuebao/ Acta Automatica Sinica, 37(5), 604–614 (2011). DOI:10.3724/SP.J.1004.2011.00604 » Abstract
J. F. Wang: Pitch Detection Based on Recursive Analysis, Applied Mechanics and Materials, 198–199, 1351–1356 (2012). DOI:10.4028/www.scientific.net/AMM.198-199.1351 » Abstract
X. Wang, G. Bi, Z. Zu: Based on recursive feature analysis and BP neural network analyze identification and location of power quality disturbances, Dianwang Jishu/ Power System Technology, 36(8), 215–222 (2012). » Abstract
C. Wang, Z. Zhong, E. Jiaqiang: Flow regime recognition in spouted bed based on recurrence plot method, Powder Technology, 219, 20–28 (2012). DOI:10.1016/j.powtec.2011.11.051 » Abstract
T. Wang, J. Li, W. Cheng, S. Zhi: Key Parameter Determination of Phase Space Reconstruction and Recurrence Plot in Fault Diagnosis of Rolling Element Bearing, Advances in Information Sciences and Service Sciences, 5(3), 56–62 (2013). DOI:10.4156/AISS.vol5.issue3.8 » Abstract
J. F. Wang: Empirical Mode Decomposition and Robust Pitch Detection Based on Recurrence Analysis, Applied Mechanics and Materials, 303–306, 1035–1038 (2013). DOI:10.4028/www.scientific.net/AMM.303-306.1035 » Abstract
L. Wang, P. Y. Kim, D. E. McCarty, C. Frilot, A. L. Chesson Jr., S. Carrubba, A. A. Marino: EEG recurrence markers and sleep quality, Journal of the Neurological Sciences, 331(1–2), 26–30 (2013). DOI:10.1016/j.jns.2013.04.019 » Abstract
X. Wang, Z. Zhong, C. Wang: Chaotic recurrence analysis of two-component flow of mixed biomass particles and quartz sands in fluidized-bed, Huagong Xuebao/ CIESC Journal, 65(3), 813–819 (2014). DOI:10.3969/j.issn.0438-1157.2014.03.007 » Abstract
L. Wang, H. Peng, J. Zheng: Similarities/Dissimilarities Analysis of Protein Sequences Based on Recurrence Quantification Analysis, Current Bioinformatics, 10(1), 112–119 (2015). DOI:10.2174/157489361001150309144955 » Abstract
J. Wang, Q. Zhou, H. Jiang, R. Hou: Short-Term Wind Speed Forecasting Using Support Vector Regression Optimized by Cuckoo Optimization Algorithm, Mathematical Problems in Engineering, 2015, 619178 (2015). DOI:10.1155/2015/619178 » Abstract
J. Wang, L. Chen: Multiple time scale EEG analysis based on partial recurrence synchronization, Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/ Journal of Nanjing University of Posts and Telecommunications (Natural Science), 35(4), 39–43 (2015). DOI:10.14132/j.cnki.1673-5439.2015.04.005 » Abstract
C. Wang, Z. Zhong, R. Li, J. E: Recurrence plots analysis of pressure fluctuation in gas-solids fluidized bed, Zhongnan Daxue Xuebao (Ziran Kexue Ban)/ Journal of Central South University (Science and Technology), 47(5), 1767–1773 (2016). http://en.cnki.com.cn/Article_en/CJFDTOTAL-HGSZ201003005.htm » Abstract
M. Wang, L. Tian, H. Xu, W.Li, R. Du, G. Dong, J. Wang, J. Gu: Systemic risk and spatiotemporal dynamics of the consumer market of China, Physica A, 473, 188–204 (2017). DOI:10.1016/j.physa.2017.01.021 » Abstract
P. Wang, R. Q. Yan: Gear Damage Severity Evaluation Based on Cross Recurrence Quantification Analysis, Proceedings of the International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC 2017), 533–537 (2017). DOI:10.1109/SDPC.2017.107 » Abstract
J. Wang, T. Niu, H. Lu, Z. Guo, W. Yang, P. Du: An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms, Applied Energy, 211, 492–512 (2018). DOI:10.1016/j.apenergy.2017.11.071 » Abstract
Z.-N. Wang, Y. Kang, D. Li, X.-C. Wang, D. Hu: Investigating the hydrodynamics of airlift pumps by wavelet packet transform and the recurrence plot, Experimental Thermal and Fluid Science, 92, 56–68 (2018). DOI:10.1016/j.expthermflusci.2017.11.006 » Abstract
M. Wang, J. Wang, B. T. Wang: Multiscale synchrony behaviors of paired financial time series by 3D multi-continuum percolation, Physica A, 492(492), 1481–1494 (2018). DOI:10.1016/j.physa.2017.11.075 » Abstract
C. Wang, Z. Zhang, M. Zhu: Nonlinear Dynamic Analysis of Air Traffic Flow at Different Temporal Scales: Nonlinear Analysis Approach versus Complex Networks Approach, Proceedings of the IEEE 18th International Conference on Software Quality 2018(421–431), andSecurityCompanion (2018). DOI:10.1109/QRS-C.2018.00079 » Abstract
J. Wang, Y. Gao, X. Chen: A novel hybrid interval prediction approach based on modified lower upper bound estimation in combination with multi-objective salp swarm algorithm for short-term load forecasting, energies, 11(6), 1561 (2018). DOI:10.3390/en11061561 » Abstract
D. Wang, N. Jin, L. Zhai, Y. Ren, Y. He: Methodology for production logging in oil-in-water flows under low flow rate and high water-cut conditions, Applied Geophysics, 16, 302–313 (2019). DOI:10.1007/s11770-019-0780-3 » Abstract
L. Wang, X. Long, R. M. Aarts, J. P. van Dijk, J. B. A. M. Arends: A broadband method of quantifying phase synchronization for discriminating seizure EEG signals, Biomedical Signal Processing and Control, 52, 371–383 (2019). DOI:10.1016/j.bspc.2018.10.019 » Abstract
P. Wang, H. Wang, R. Q. Yan: Bearing Degradation Evaluation Using Improved Cross Recurrence Quantification Analysis and Nonlinear Auto-Regressive Neural Network, IEEE Access, 7, 38937–38946 (2019). DOI:10.1109/ACCESS.2019.2906388 » Abstract
D. Wang, N. Jin, L. Zhai, Y. Ren: Measurement of Oil-Gas-Water Mixture Velocity Using a Conductance Cross-Correlation Flowmeter With Center Body in Small Pipe, IEEE Sensors Journal, 19(12), 4471–4479 (2019). DOI:10.1109/JSEN.2019.2902132 » Abstract
H. C. Wang, H. R. Fang, L. Meng, F. X. Xu: A pre-warning system of abnormal energy consumption in lead smelting based on LSSVR-RP-CI, Journal of Central South University, 26(8), 2175–2184 (2019). DOI:10.1007/s11771-019-4164-x » Abstract
F. Wang, D. Zhou, S. Zhang: Mechanical Condition Monitoring of On-load Tap Changer Based on Textural Features of Recurrence Plots of Vibration Signals, Proceedings of the 5th International Conference on Electric Power Equipment – Switching Technology (ICEPE-ST 2019), 560–564 (2019). DOI:10.1109/ICEPE-ST.2019.8928833 » Abstract
W. Wang, J. Cao, C. Bowen, G. Litak: Nonlinear response identification of an asymmetric bistable harvester excited at different bias angles by multiscale entropy and recurrence plot, Proceedings of the ASME Design Engineering Technical Conference, 8, 1–7 (2019). DOI:10.1115/DETC2019-97224 » Abstract
Z. Wang, C. L. Yang, X. J. Zhou, Y. H. Teng: Identification of Localized Void Defects in Composite by Recurrence Quantification Analysis of Ultrasonic Backscattered Signal, Russian Journal of Nondestructive Testing, 55(3), 192–201 (2019). DOI:10.1134/S1061830919030112 » Abstract
Z. Wang, C. Yang, X. Zhou, G. Teng: Identification method for CFRP local pore defects based on recursive quantitative analysis of ultrasonic backscattering signal, Zhendong yu Chongji/ Journal of Vibration and Shock, 38(21), 229–235 (2019). DOI:10.13465/j.cnki.jvs.2019.21.032 » Abstract
D. Wang, Y. Guo, X. Wu, J. Na, G. Litak: Planetary-gearbox fault classification by convolutional neural network and recurrence plot, Applied Sciences, 10(3), 932 (2020). DOI:10.3390/app10030932 » Abstract
Q. Wang, H. Yang: Sensor-Based Recurrence Analysis of Energy Efficiency in Machining Processes, IEEE Access, 8, 18326–18336 (2020). DOI:10.1109/ACCESS.2020.2968172 » Abstract
Y. Wang, J. Xu, W. Li, H. Liu: Molecular dynamics study of mechanism of density fluctuation in supercritical fluid], Kexue Tongbao/ Chinese Science Bulletin, 65(17), 1694–1704 (2020). DOI:10.1360/TB-2019-0736 » Abstract
H. Wang, B. Wang, X. Dong, L. Yao, R. Zhang, F. Ma: Heterogeneous Multi-Parameter Feature-Level Fusion for Multi-Source Power Sensing Terminals: Fusion Mode, Fusion Framework and Application Scenarios, Diangong Jishu Xuebao/ Transactions of China Electrotechnical Society, 36(7), 1314–1323 (2021). DOI:10.19595/j.cnki.1000-6753.tces.201094 » Abstract
X. Wang, M. Han, X. Han, C. zhang, C. Sung: Flame structures and thermoacoustic instabilities of centrally-staged swirl flames operating in different partially-premixed modes, Energy, 236, 121512 (2021). DOI:10.1016/j.energy.2021.121512 » Abstract
X. Wang, X. Han, H. Song, D. Yang, C. Sung: Multi-bifurcation behaviors of stability regimes in a centrally staged swirl burner, Physics of Fluids, 33(9), 095121 (2021). DOI:10.1063/5.0063562 » Abstract
Y. Wang, C. Cho, J. Du, C. Sohn: Effects of recess length on combustion instability in a model chamber with a gas-centered swirl coaxial injector, Aerospace Science and Technology, 130, 107911 (2022). DOI:10.1016/j.ast.2022.107911 » Abstract
X. Wang, J. Ruan, T. Zhou, X. Peng, Y. Deng, Q. Yang: Data Mining in the Vibration Signal of the Trip Mechanism in Circuit Breakers Based on VMD-PSR, Electronics, 11(22), 3700 (2022). DOI:10.3390/electronics11223700 » Abstract
W. Wang, Y. Zhang, Z. -. Wei, J. Cao: Design and numerical investigation of an ultra-wide bandwidth rolling magnet bistable electromagnetic harvester, Energy, 261(B), 125311 (2022). DOI:10.1016/j.energy.2022.125311 » Abstract
M. Wang, C. Hua, H. Xu: Dynamic Linkages among Carbon, Energy and Financial Markets: Multiplex Recurrence Network Approach, Mathematics, 10(11), 1829 (2022). DOI:10.3390/math10111829 » Abstract
X. Wang, X. Han, J. Wang, J. Du, C. Sung: Flame stabilization and thermoacoustic instability during operating condition modulations: Roles of pilot and main flames, Physics of Fluids, 34(12), 125102 (2022). DOI:10.1063/5.0128756 » Abstract
Y. Wang, C. Chen: Recurrence Quantification Analysis for Spatial Data, Proceedings of the IISE Annual Conference and Expo 2022, , (2022). » Abstract
X. Wang, X. Wang, X. Zhang, Q. Chen: Motor Fault Diagnosis Under Variable Working Conditions Based on Two-Dimensional Time Series and Transfer Learning, Proceedings of the International Conference on Electrical Machines and Systems (ICEMS 2022), 1–5 (2022). DOI:10.1109/ICEMS56177.2022.9982901 » Abstract
H. Wang, Z. Tang, H. Li, J. Zhang, S. Li, J. Wang: CI_GRU: An efficient DGA botnet classification model based on an attention recurrence plot, Computer Networks, 235, 109992 (2023). DOI:10.1016/j.comnet.2023.109992 » Abstract
X. Wang, S. Sun, X. Feng, X. Chen: Non-linear feature analysis of public emotion evolution for online teaching during the COVID-19 pandemic, Education + Training, 65(2), 265–283 (2023). DOI:10.1108/ET-05-2022-0175 » Abstract
X. Wang, X. Wang, T. Li, X. Zhao: A Fault Diagnosis Method Based on a Rainbow Recursive Plot and Deep Convolutional Neural Networks, Energies, 16(11), 4357 (2023). DOI:10.3390/en16114357 » Abstract
X. Wang, X. Han, C. Sung: Transitions of thermoacoustic modes and flame dynamics in a centrally-staged swirl combustor, Energy, 263, 125813 (2023). DOI:10.1016/j.energy.2022.125813 » Abstract
H. Wang, F. Liu, D. Yu: Complex network of eye movements during rapid automatized naming, Frontiers in Neuroscience, 17, 1024881 (2023). DOI:10.3389/fnins.2023.1024881 » Abstract
F. Wang, D. Chen, B. Lu, H. Wang, R. Fu: A Novel Semi-Dry Electrode Suitable for Collecting EEG Data for Detecting Driving Fatigue in Long-Period Driving Case, IEEE Sensors Journal, 23(16), 17891–17900 (2023). DOI:10.1109/JSEN.2023.3292499 » Abstract
X. Wang, Z. Gao, Y. Xin: Identification and Forecast of Cold Rolling Chatter Based on Recurrence Quantification Analysis, Journal of Mechanical Engineering, 59(9), 137–145 (2023). DOI:10.3901/JME.2023.09.137 » Abstract
P. Wang, W. Liu, Z. Liu: Recognition of Dynamically Varying PRI Modulation via Deep Learning and Recurrence Plot, Journal of Systems Engineering and Electronics, 34(4), 815–826 (2023). DOI:10.23919/JSEE.2022.000071 » Abstract
C. Wang, Y. Li, L. Wang, S. Liu, S. Yang: A study of EEG non-stationarity on inducing false memory in different emotional states, Neuroscience Letters, 809, 137306 (2023). DOI:10.1016/j.neulet.2023.137306 » Abstract
D. Wang, Z. Cui, W. Chen, Q. Shu: Local projective noise reduction algorithm based on fuzzy recurrence and optimal hard threshold, Xi Tong Gong Cheng Yu Dian Zi Ji Shu/ Systems Engineering and Electronics, 45(3), 621–628 (2023). DOI:10.12305/j.issn.1001-506X.2023.03.01 » Abstract
Y. Wang, C. Hyeon, C. Hoon: Effects of injector spacing and momentum flux ratio on combustion instability in a model chamber with gas-centered swirl coaxial injectors, Aerospace Science and Technology, 154, 109503 (2024). DOI:10.1016/j.ast.2024.109503 » Abstract
C. Wang, Y. Li, S. Liu, S. Yang: TVRP-based constructing complex network for EEG emotional feature analysis and recognition, Biomedical Signal Processing and Control, 96, 106606 (2024). DOI:10.1016/j.bspc.2024.106606 » Abstract
X. Wang, W. Li, M. Ma, F. Yang, S. Song: Bridge Damage Identification Based on Encoded Images and Convolutional Neural Network, Buildings, 14(10), 3104 (2024). DOI:10.3390/buildings14103104 » Abstract
Z. Wang, J. Yu, M. Zhai, Z. Wang, K. Sheng, Y. Zhu, T. Wang, M. Liu, L. Wang, M. Yan, J. Zhang, Y. Xu, X. Wang, L. Ma, W. Hu, H. Cheng: System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning, Cell Research, 34, 493–503 (2024). DOI:10.1038/s41422-024-00956-x » Abstract
C. Wang, M. Zhai, H. Li, X. Mo, Z. Zha, J. Wu: Detection of sub-healthy apples with watercore based on visible/near-infrared transmission spectroscopy, Food and Machinery, 40(7), 117–125 and 182 (2024). DOI:10.13652/j.spjx.1003.5788.2024.80368 » Abstract
Y. Wang, C. Chen, T. Imamura, I. E. Tapia, V. K. Somers, P. C. Zee, D. C. Lim: A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis, Frontiers in Physiology, 15, 1425582 (2024). DOI:10.3389/fphys.2024.1425582 » Abstract
P. Wang, T. Ren, R. Shen, G. M. Dimirovski, X. Liu, F. Meng: MFFnet: A Seismic Phase Picking Network Based on Multiple Feature Fusion, IEEE Geoscience and Remote Sensing Letters, 21, 7502805 (2024). DOI:10.1109/LGRS.2024.3380894 » Abstract
B. Wang, H. Cheng, C. Zhang, S. Li, C. Yang, Y. Du: Novel Approach to Characterizing the Flow Regime and Fluid Dynamics in a Gas-Solid Fluidized Bed Based on Complex Network Theory, Industrial & Engineering Chemistry Research, 63(15), 6817 (2024). DOI:10.1021/acs.iecr.4c00004 » Abstract
T. Wang, A. Ruiz-Segura, S. Li, S. P. Lajoie: The relationship between students' self-regulated learning behaviours and problem-solving efficiency in technology-rich learning environments, Journal of Computer Assisted Learning, 40(6), 2886–2900 (2024). DOI:10.1111/jcal.13043 » Abstract
S. Wang, J. Tian: Tool wear classification based on minimalism in deep learning for VanillaNet and recurrence plot encoding technology, Journal of Mechanical Science and Technology, 38(9), 4793–4807 (2024). DOI:10.1007/s12206-024-0815-4 » Abstract
S. Wang, L. Tang, Y. Dou, Z. Li, K. C. Aw: Enhancement of Track Damage Identification by Data Fusion of Vibration-Based Image Representation, Journal of Nondestructive Evaluation, 43(1), 15 (2024). DOI:10.1007/s10921-023-01028-7 » Abstract
B. Wang, H. Li, X. Hu, W. Wang: Rolling bearing fault diagnosis based on multi-domain features and whale optimized support vector machine, Journal of Vibration and Control, 31(5–6), 708–720 (2024). DOI:10.1177/10775463241231344 » Abstract
A. Wang, J. He, X. Feng, J. Luo, W. Chen, Y. Wei, C. Yang: Risk Analysis of Atrial Fibrillation Based on ECG Phenotypes: The RAF-ECP Study Protocol, Phenomics, 4, 617–632 (2024). DOI:10.1007/s43657-023-00151-9 » Abstract
H. Wang, T. Wang, C. Yu: CFRP ultrasonic detection defect identification method based on recursive quantitative analysis, Zhejiang Daxue Xuebao (Gongxue Ban)/ Journal of Zhejiang University (Engineering Science), 58(8), 1604–1617 (2024). DOI:10.3785/j.issn.1008-973X.2024.08.008 » Abstract
H. Wang, T. Wang, C. Yu: CFRP ultrasonic detection defect identification method based on recursive quantitative analysis, Zhejiang Daxue Xuebao (Gongxue Ban)/ Journal of Zhejiang University (Engineering Science), 58(8), 1604–1617 (2024). DOI:10.3785/j.issn.1008-973X.2024.08.008 » Abstract
J. Wang, X. Yan, X. Wang, M. Han, Y. Wang, X. Han, C. Zhang: Injection height impact on combustion instability in a centrally staged combustor, Physics of Fluids, 37(1), 017120 (2025). DOI:10.1063/5.0249406 » Abstract
C. Wang, J. Ma, G. Wei, X. Sun: Analysis of Cardiac Arrhythmias Based on ResNet-ICBAM-2DCNN Dual-Channel Feature Fusion, Sensors, 25(3), 661 (2025). DOI:10.3390/s25030661 » Abstract
F. Wang, D. Chen: Study on the effect of human sympathetic nerve cold stimulation to relieve driving fatigue based on order recurrence plot, Computer Methods in Biomechanics and Biomedical Engineering, , (in press). DOI:10.1080/10255842.2024.2324878 » Abstract
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T. L. Xu, C. Yu: Quantifying Joint Activities using Cross-Recurrence Block Representation, Proceedings of the 38th Annual Conference of the Cognitive Science Society, 1997–2002 (2016). » Abstract
M. Xu, P. Shang, A. Lin: Multiscale recurrence quantification analysis of order recurrence plots, Physica A, 469, 381–389 (2017). DOI:10.1016/j.physa.2016.11.058 » Abstract
Z. Xu, H. Wang, H. Wan, H. Li: Quantitative assessment of nonstationarity of wind speed signal using recurrence plot, Journal of Aerospace Engineering, 32(6), 04019094 (2019). DOI:10.1061/(ASCE)AS.1943-5525.0001092 » Abstract
H. Xu, M. Wang, W. Yang: Information Linkage between Carbon and Energy Markets: Multiplex Recurrence Network Approach, Complexity, 2020, 5841609 (2020). DOI:10.1155/2020/5841609 » Abstract
T. Xu, K. Barbaro, D. Abney, R. F. A. Cox: Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series, Frontiers in Psychology, 11, 1457 (2020). DOI:10.3389/fpsyg.2020.01457 » Abstract
X. Xu, S. Huang, F. An, Z. Wang: Changes in Air Quality during the Period of COVID-19 in China, International Journal of Environmental Research and Public Health, 19(23), 16119 (2022). DOI:10.3390/ijerph192316119 » Abstract
X. Xu, C. Feng, Z. Xia, H. Zhu: Recurrence Plot Application of RCS Sequence for Radar Target Classification with Micro-motion, Proceedings of the Chinese Automation Congress (CAC 2022), 2022-January, 6662–6665 (2022). DOI:10.1109/CAC57257.2022.10054864 » Abstract
C. Xu, J. Chen: Deep Clustering Model for Time-Series Data Based on Recurrence Plot and Variational Auto-Encoder, Proceedings of SPIE, 12716, 127160G (2023). DOI:10.1117/12.2685689 » Abstract
Y. Xu, J. Wang, S. Wang, J. Li, Y. Hou, A. Guo: Neuromuscular conditions in post-stroke ankle-foot dysfunction reflected by surface electromyography, Journal of Neuroengineering and Rehabilitation, 21, 137 (2024). DOI:10.1186/s12984-024-01435-5 » Abstract
M. Xu, X. Peng, P. Yang, J. Qi, Y. Yang: An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14881 LNBI, 15–26 (2024). DOI:10.1007/978-981-97-5689-6_2 » Abstract
G. Xu, B. Wang, P. Liu, Y. Guan: Data-driven identification of the critical transition to thermoacoustic instability in a full-scale solid rocket motor, Physics of Fluids, 36(12), 124127 (2024). DOI:10.1063/5.0246774 » Abstract
G. Xu, B. Wang, B. Jin, Z. Wang, P. Liu: Numerical study of triggered thermoacoustic instability driven by linear and nonlinear combustion response in a solid rocket motor, Physics of Fluids, 36(3), 034110 (2024). DOI:10.1063/5.0191166 » Abstract
X. Xu, J. Zhan, C. Wang, Z. Wang, Y. Wang: Damage identification of simply-supported bridges using impact response-based recurrence graph, Structures, 64, 106611 (2024). DOI:10.1016/j.istruc.2024.106611 » Abstract
Z. Xuan, Q. Sun, C. Lu: The effect of nonstationary in the precipitation time series predictions, Proceedings of the 2009 Second International Conference on Information and Computing Science 2009, 1, 236–238 (2009). DOI:10.1109/ICIC.2009.66 » Abstract
H. Xue, S. Song, M. Qiu, X. Huang, S. Yang, Z. Tang: Identification of climatic tipping points and transitions in Chinese loess grain-size records utilizing nonlinear time series analysis, Quaternary International, 702, 23–33 (2024). DOI:10.1016/j.quaint.2024.06.011 » Abstract
D. Xygalatas: Culture, Cognition, and Ritual, In: Handbook of Advances in Culture and Psychology, 10, Eds.: M. J. Gelfand and C. Chiu and Y. Hong, Oxford University Press, Oxford (UK), 118–154 (2024). DOI:10.1093/oso/9780197689783.003.0003 » Abstract
A. Yadav, V. K. Jayaraman, M. Kale, U. Kulkarni-Kale: Phylogenetic Clustering of Protein Sequences Using Recurrence Quantification Analysis, Advanced Science Letters, 19(5), 1336–1339 (2013). DOI:10.1166/asl.2013.4499 » Abstract
A. Yadav, S. Roy: Quantification of boiling flows in single and multiple heater rods assembly by recurrence plots and recurrence quantification analysis, Chemical Engineering Journal Advances, 10, 100241 (2022). DOI:10.1016/j.ceja.2022.100241 » Abstract
G. Yadu, S. K. Nayak, D. Panigrahi, I. Banerjee, K. Pal, A. Anis: Understanding the Effect of a Motivational Music on Indian Male Volunteers Using Recurrence Analysis and ANN Classification, Proceedings of the 14th IEEE India Council International Conference (INDICON 2017), 8487870 (2017). DOI:10.1109/INDICON.2017.8487870 » Abstract
R. Yaghoobi, S. Azadi, P. Keshavarzi: Loss Detection of Recurrence Rate in the EEG Signals of Children with ADHD, Journal of Scientific & Industrial Research, 78, 203–211 (2019). http://nopr.niscair.res.in/handle/123456789/46941 » Abstract
H. Yahyaei, M. Aliyari Shoorehdeli: A novel incipient fault detection based on residual evaluation by using correlation dimension and inverse of largest Lyapunov exponent, International Journal of Dynamics and Control, 9, 56–70 (2021). DOI:10.1007/s40435-020-00627-w » Abstract
H. S. Yalccinkaya, N. Bacsaran: Investigation of the Relationship Between Chaos Data and €/ Exchange Rate Index Data with RQA Method, Chaos, Theory and Applications, 5(2), 78–89 (2023). DOI:10.51537/chaos.1260049 » Abstract
K. Yamamoto, M. Shinya, K. Kudo: The influence of attractor stability of intrinsic coordination patterns on the adaptation to new constraints, Scientific Reports, 10(1), 3058 (2020). DOI:10.1038/s41598-020-60066-7 » Abstract
R.-Q. Yan, Y. Zu, Y.-S. Zhu: Automatic Speech Segmentation Combining an HMM-Based Approach and Recurrence Trend Analysis, Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 1, 1 (2006). DOI:10.1109/ICASSP.2006.1660141 » Abstract
R.-Q. Yan, Y.-S. Zhu: Voiced/unvoiced Decision Based on Recurrence Quantification Analysis, Dianzi Yu Xinxi Xuebao/ Journal of Electronics and Information Technology, 29(7), 1703–1706 (2007). http://www.wanfangdata.com.cn/qikan/periodical.Articles/dzkxxk/dzkx2007/0707/070743.htm
R.-Q. Yan, Y.-S. Zhu: Speech endpoint detection based on recurrence rate analysis, Tongxin Xuebao/ Journal on Communication, 28(1), 35–39 (2007). » Abstract
J. Yan, C. Zhou, C. Xia, Y. Wang, F. Li, R. Guo, H. Yan: Recurrence quantification analysis base on wavelet packets for wrist pulse, Proceedings of the 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010, 3(5639732), 1011–1015 (2010). DOI:10.1109/BMEI.2010.5639732 » Abstract
R. Yan, Y. Qian, Z. Huang, R. X. Gao: Recurrence plot entropy for machine defect severity assessment, Smart Structures and Systems, 11(3), 299–314 (2013). DOI:10.12989/sss.2013.11.3.299 » Abstract
J. Yan, Y. Wang, G. Ouyang, T. Yu, X. Li: Using max entropy ratio of recurrence plot to measure electrocorticogram changes in epilepsy patients, Physica A, 443, 109–116 (2016). DOI:10.1016/j.physa.2015.09.069 » Abstract
X. Yan, S. Feng, J. Dai, J., Wang: Detecting epileptic electroencephalogram by Recurrence Quantification Analysis, Proceedings of the 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016)(7852951), 1482–1486 (2016). DOI:10.1109/CISP-BMEI.2016.7852951 » Abstract
B. Yan, S. Mukherjee, S. He: A study on dynamical complexity of noise induced blood flow, European Physical Journal – Special Topics, 228(12), 2769–2777 (2019). DOI:10.1140/epjst/e2019-900022-0 » Abstract
B. Yan, S. K. Palit, S. Mukherjee, S. Banerjee: Signature of complexity in time-frequency domain, Physica A, 535, 122433 (2019). DOI:10.1016/j.physa.2019.122433 » Abstract
S. Yan, J. M. Peck, M. Ilgu, M. Nilsen-Hamilton, M. H. Lamm: Sampling Performance of Multiple Independent Molecular Dynamics Simulations of an RNA Aptamer, ACS Omega, 5(32), 20187–20201 (2020). DOI:10.1021/acsomega.0c01867 » Abstract
B. Yan, S. Mukherjee, A. Saha: Exploring noise-induced chaos and complexity in a red blood cell system, European Physical Journal – Special Topics, 230, 1517–1523 (2021). DOI:10.1140/epjs/s11734-021-00030-2 » Abstract
B. Yan, P. W. Chan, Q. Li, Y. He, Z. Shu: Dynamic analysis of meteorological time series in Hong Kong: A nonlinear perspective, International Journal of Climatology, 41(10), 4920–4932 (2021). DOI:10.1002/joc.7106 » Abstract
Y. Yan, X. Wu, C. Li, Y. He, Z. Zhang, H. Li, A. Li, L. Wang: Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition, IEEE Transactions on Cognitive and Developmental Systems, 15(2), 625–638 (2023). DOI:10.1109/TCDS.2022.3174209 » Abstract
J. Yan, Y. Huang, S. Yuan, Y. Lu, Z. Yu: Open-Circuit Fault Analysis and Recognition in Three-Level Inverters Based on Recurrence Plot and Convolution Neural Network, International Transactions on Electrical Energy Systems, 2023, 4755960 (2023). DOI:10.1155/2023/4755960 » Abstract
Z. Yan, D. Xiao, H. Sun, L. Zhang, L. Yin: Coal type identification with application result quantification based on deep-ensemble learning and image-encoded reflectance spectroscopy, Fuel, 373, 132381 (2024). DOI:10.1016/j.fuel.2024.132381 » Abstract
Z. Yan, Y. Yang, W. Han, Y. Liu, X. Liu, X. Fang: A Hydrochemical Method for Identifying Orbital Imprints of Dust in Paleofluvial Sequences, Geophysical Research Letters, 51(14), e2024GL109988 (2024). DOI:10.1029/2024GL109988 » Abstract
J. Yan, H. Zhang, X. Ge, W. Yang, X. Peng, T. Liu: A novel bionic olfactory network combined with an electronic nose for identification of industrial exhaust, Microchemical Journal, 200, 110287 (2024). DOI:10.1016/j.microc.2024.110287 » Abstract
Y. Yang, E. Tantoso, K.-B. Li: Remote protein homology detection using recurrence quantification analysis and amino acid physicochemical properties, Journal of Theoretical Biology, 252(1), 145–154 (2008). DOI:10.1016/j.jtbi.2008.01.028 » Abstract
J. Y. Yang, Z. L. Peng, Z. G. Yu, R. J. Zhang, V. Anh, D. S. Wang: Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation, Journal of Theoretical Biology, 257(4), 618–626 (2009). DOI:10.1016/j.jtbi.2008.12.027 » Abstract
P. Yang, G. Wang, J. Bian, X. Zhou: The prediction of non-stationary climate series based on empirical mode decomposition, Advances in Atmospheric Sciences, 27(4), 845–854 (2010). DOI:10.1007/s00376-009-9128-x » Abstract
J. Yang, Z. Peng, X. Chen: Prediction of protein structural classes for low-homology sequences based on predicted secondary structure, BMC Bioinformatics, 11(Suppl 1), S9 (2010). DOI:10.1186/1471-2105-11-S1-S9 » Abstract
Y. Yang, T. Zhang, Y. Shao, G. Meng, F. Wang: Effect of hydrostatic pressure on the corrosion behaviour of Ni-Cr-Mo-V high strength steel, Corrosion Science, 52(8), 2697–2706 (2010). DOI:10.1016/j.corsci.2010.04.025 » Abstract
H. Yang: Multiscale recurrence quantification analysis of spatial cardiac vectorcardiogram signals, IEEE Transactions on Biomedical Engineering, 58(2), 339–347 (2011). DOI:10.1109/TBME.2010.2063704 » Abstract
H. Yang, S. T. S. Bukkapatnam, L. G. Barajas: Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems, Pattern Recognition, 44(8), 1834–1840 (2011). DOI:10.1016/j.patcog.2011.01.010 » Abstract
D. Yang, W.-X. Ren: Non-stationarity evaluating for vibration signals using recurrence plot, Zhendong yu Chongji/ Journal of Vibration and Shock, 30(12), 39–43 (2011). » Abstract
H. Yang, S. T. S. Bukkapatnam, R. Komanduri: Spatiotemporal representation of cardiac vectorcardiogram (VCG) signals, Biomedical Engineering Online, 11 (2012). DOI:10.1186/1475-925X-11-16 » Abstract
H. Yang, G. Liu: Self-organized topology of recurrence-based complex networks, Chaos, 23, 043116 (2013). DOI:10.1063/1.4829877 » Abstract
C. Yang, Y. Duan Yufeng, H. Hu: Analysis of Pressure Fluctuations in a Dual-leg Fluidized Bed Based on Recurrence Plot, Zhongguo Dianji Gongcheng Xuebao/ Proceedings of the Chinese Society of Electrical Engineering, 33(2), 52–57 (2013). » Abstract
D. Yang, W.-X. Ren, D. Li, Y.-D. Hu: Local recurrence rate analysis based non-stationarity measurement for operational vibration signal, Zhongnan Daxue Xuebao (Ziran Kexue Ban)/ Journal of Central South University (Science and Technology), 44(7), 3024–3032 (2013). » Abstract
H. Yang, Y. Chen: Heterogeneous recurrence monitoring and control of nonlinear stochastic processes, Chaos, 24, 013138 (2014). DOI:10.1063/1.4869306 » Abstract
L. Yang, S. Ding, G. Litak, E. Song, X. Ma: Identification and quantification analysis of nonlinear dynamics properties of combustion instability in a diesel engine, Chaos, 25, 013105 (2015). DOI:10.1063/1.4899056 » Abstract
D. Yang, W.-X. Ren, Y.-D. Hu, D. Li: Selection of optimal threshold to construct recurrence plot for structural operational vibration measurements, Journal of Sound and Vibration, 349, 361–374 (2015). DOI:10.1016/j.jsv.2015.03.046 » Abstract
H. Yang, X. Hou: Texture segmentation using image decomposition and local self-similarity of different features, Multimedia Tools and Applications, 74(15), 6069–6089 (2015). DOI:10.1007/s11042-014-1909-2 » Abstract
Y.-G. Yang, Q.-X. Pan, S.-J. Sun, P. Xu: Novel Image Encryption based on Quantum Walks, Scientific Reports, 5, 7784 (2015). DOI:10.1038/srep07784 » Abstract
L. Yang, E. Song, S. Ding, R. J. Brown, N. Marwan, X. Ma: Analysis of the dynamic characteristics of combustion instabilities in a pre-mixed lean-burn natural gas engine, Applied Energy, 183(1), 746–759 (2016). DOI:10.1016/j.apenergy.2016.09.037 » Abstract
Y.-G. Yang, Q.-Q. Zhao: Novel pseudo-random number generator based on quantum random walks, Scientific Reports, 6, 20362 (2016). DOI:10.1038/srep20362 » Abstract
Y.-G. Yang, P. Xu, R. Yang, Y. H. Zhou, W. M. Shi: Quantum Hash function and its application to privacy amplification in quantum key distribution, pseudo-random number generation and image encryption, Scientific Reports, 6, 19788 (2016). DOI:10.1038/srep19788 » Abstract
Q. Yang, Y. Han, W. Liu, H. Zhang, Y. Ren, N. Jin: Investigation on the effect of polymer in vertical oil-water two-phase flow using nonlinear analysis, Experimental Thermal and Fluid Science, 80, 1–18 (2017). DOI:10.1016/j.expthermflusci.2016.08.008 » Abstract
Y. X. Yang, Z. Gao, X. M. Wang, Y. L. Li, J. W. Han, N. Marwan, J. Kurths: A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG, Chaos, 28(8), 085724 (2018). DOI:10.1063/1.5023857 » Abstract
P. Yang, P. Shang: Recurrence quantity analysis based on matrix eigenvalues, Communications in Nonlinear Science and Numerical Simulation, 59, 15–29 (2018). DOI:10.1016/j.cnsns.2017.11.001 » Abstract
G. Yang, D. Xu, H. Zhang: A new recurrence-network-based time series analysis approach for characterizing system dynamics, Entropy, 21(1), 45 (2019). DOI:10.3390/e21010045 » Abstract
C.-L. Yang, W. Feng, C.-L. Bian, X.-J. Zhou, J.-Y. Chai: Micro defects detection in metallic materials based on recurrence analysis of ultrasonic backscattering signal, Guangxue Jingmi Gongcheng/ Optics and Precision Engineering, 27(4), 932–944 (2019). DOI:10.3788/ope.20192704.0932 » Abstract
X. Yang, X. Wang, A. He, Z. Wang, J. Wang: The complexity of ECG signal based on multifractal theories and its nonlinear dynamical mechanism, Kexue Tongbao/ Chinese Science Bulletin, 64(22), 2332–2341 (2019). DOI:10.1360/N972019-00235 » Abstract
L.-P. Yang, T. A. Bodisco, A. Zare, N. Marwan, T. Chu-Van, R. J. Brown: Analysis of the nonlinear dynamics of inter-cycle combustion variations in an ethanol fumigation-diesel dual-fuel engine, Nonlinear Dynamics, 95(3), 2555–2574 (2019). DOI:10.1007/s11071-018-4708-x » Abstract
C. Yang, G. Luan, Z. Liu, Q. Wang: Dynamical analysis of epileptic characteristics based on recurrence quantification of SEEG recordings, Physica A, 523, 507–515 (2019). DOI:10.1016/j.physa.2019.02.017 » Abstract
C. Yang, F. Darwin, H. Sutrisno: Local recurrence rates with automatic time windows for discord search in multivariate time series, Procedia Manufacturing, 39, 1783–1792 (2019). DOI:10.1016/j.promfg.2020.01.261 » Abstract
H. Yang, C. Chen, S. Kumara: Heterogeneous recurrence analysis of spatial data, Chaos, 30(1), 013119 (2020). DOI:10.1063/1.5129959 » Abstract
Q. Yang, J. Ruan, C. Zhang, Z. Zhuang, P. Zhai: Study and Application of Mechanical Defect Identification for High-Voltage Circuit Breakers Using Recurrence Quantification Analysis, Diangong Jishu Xuebao/ Transactions of China Electrotechnical Society, 35(18), 3848–3859 (2020). DOI:10.19595/j.cnki.1000-6753.tces.190944 » Abstract
X. Yang, S. Yang, A. Yang, C. Ai: Recurrence Analysis of Thermoacoustic Instabilities of an Coaxial Swirl Injector, Yuhang Xuebao/ Journal of Astronautics, 41(5), 608–616 (2020). DOI:10.3873/j.issn.1000-1328.2020.05.012 » Abstract
H. Yang, Y. Cheng, G. Li: A denoising method for ship radiated noise based on Spearman variational mode decomposition, spatial-dependence recurrence sample entropy, improved wavelet threshold denoising, and Savitzky-Golay filter, Alexandria Engineering Journal, 60(3), 3379–3400 (2021). DOI:10.1016/j.aej.2021.01.055 » Abstract
C. Yang, Z. Liu, Q. Wang, G. Luan, F. Zhai: Epileptic seizures in a heterogeneous excitatory network with short-term plasticity, Cognitive Neurodynamics, 15, 43–51 (2021). DOI:10.1007/s11571-020-09582-w » Abstract
Q. Yang, N. Jin, Y. Deng, D. Wang: Water Holdup Measurement of Gas-Liquid Flows Using Distributed Differential Pressure Sensors, IEEE Sensors Journal, 21(2), 2149–2158 (2021). DOI:10.1109/JSEN.2020.3019602 » Abstract
Y. Yang, Z. Gao, Y. Li, Q. Cai, N. Marwan, J. Kurths: A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(9), (2021). DOI:10.1109/TSMC.2019.2956022 » Abstract
D. Yang, W. Ren, Y. Hu: Non-stationary assessment of structural operational measurements using recurrence quantification analysis, Measurement, 171, 108791 (2021). DOI:10.1016/j.measurement.2020.108791 » Abstract
G. Yang, D. Xu, H. Zhang: Closeness-centrality-correlation for detecting interdependency between coupled systems, Modern Physics Letters B, 35(19), 2150216 (2021). DOI:10.1142/S021798492150216X » Abstract
G. Yang, D. Xu, H. Zhang, S. Xia: Weighted recurrence network for characterizing continuous dynamical systems, Modern Physics Letters B, 35(21), 2150361 (2021). DOI:10.1142/S0217984921503619 » Abstract
Y. Yang, J. Peng, P. Fan: A non-destructive dropped fruit impact signal imaging-based deep learning approach for smart sorting of kiwifruit, Computers and Electronics in Agriculture, 202, 107380 (2022). DOI:10.1016/j.compag.2022.107380 » Abstract
X. Yang, Z. Li, L. Bai, X. Shen, F. Wang, X. Han, R. Zhang, Z. Li, J. Zhang, M. Dong, Y. Wang, T. Cao, S. Zhao, C. Chu, C. Liu, X. Zhu: Association of Plasma and Electroencephalography Markers With Motor Subtypes of Parkinson’s Disease, Frontiers in Aging Neuroscience, 14, 911221 (2022). DOI:10.3389/fnagi.2022.911221 » Abstract
Y. Yang, W. Han, C. Ye, A. Galy, X. Fang: Trends and Transitions in Silicate Weathering in the Asian Interior (NE Tibet) Since 53 Ma, Frontiers in Earth Science, 10, 824404 (2022). DOI:10.3389/feart.2022.824404 » Abstract
Z. Yang, W. Chen, D. Yang, R. Song: A Novel Recognition Method of Aging Stage of Transformer Oil-Paper Insulation Using Raman Spectroscopic Recurrence Plots, IEEE Transactions on Dielectrics and Electrical Insulation, 29(3), 1152–1159 (2022). DOI:10.1109/TDEI.2022.3171175 » Abstract
Y. Yang, X. Liu, C. Kan: Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials, Journal of Manufacturing Systems, 65, 591–604 (2022). DOI:10.1016/j.jmsy.2022.09.011 » Abstract
T. Yang, T. Tang, J. Wang, C. Qiu, M. Chen: A novel cross-domain fault diagnosis method based on model agnostic meta-learning, Measurement, 199, 111564 (2022). DOI:10.1016/j.measurement.2022.111564 » Abstract
J. F. Yang, T. A. Berrueta, A. M. Brooks, A. T. Liu, G. Zhang, D. Gonzalez-Medrano, S. Yang, V. B. Koman, P. Chvykov, L. N. LeMar, M. Z. Miskin, T. D. Murphey, M. S. Strano: Emergent microrobotic oscillators via asymmetry-induced order, Nature Communications, 13(1), 5734 (2022). DOI:10.1038/s41467-022-33396-5 » Abstract
X. Yang, M. Chen, Y. Ren, B. Hong, A. He, J. Wang: Multivariate joint order recurrence networks for characterization of multi-lead ECG time series from healthy and pathological heartbeat dynamics, Chaos, 33(10), 103120 (2023). DOI:10.1063/5.0167477 » Abstract
Z. Yang, S. Dong: A novel decomposition-based approach for non-stationary hub-height wind speed modelling, Energy, 283, 129081 (2023). DOI:10.1016/j.energy.2023.129081 » Abstract
G. Yang, S. Xia: Weighted Dynamic Time Warping for Time Series, International Journal of Bifurcation and Chaos, 33(13), 2350149 (2023). DOI:10.1142/S0218127423501493 » Abstract
Y. Yang, C. Kan: Recurrence Network-Based 3D Geometry Representation Learning for Quality Control in Additive Manufacturing of Metamaterials, Journal of Manufacturing Science and Engineering, 145(11), 111006 (2023). DOI:10.1115/1.4063236 » Abstract
Y. Yang, Z. Ye, Y. Wang, C. Liu, C. Kan: Recurrence analysis of 3D point clouds for the detection of surface anomalies in advanced manufacturing, Manufacturing Letters, 41, 1499–1506 (2024). DOI:10.1016/j.mfglet.2024.09.176 » Abstract
L. Yang, T. Gao, W. Wei, M. Dai, C. Fang, J. Duan: Multi-task meta label correction for time series prediction, Pattern Recognition, 150, 110319 (2024). DOI:10.1016/j.patcog.2024.110319 » Abstract
Z. Yang, S. Dong: A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China, Renewable Energy, 226, 120406 (2024). DOI:10.1016/j.renene.2024.120406 » Abstract
D. Yankov, E. Keogh, S. Lonardi, A. Waichee Fu: Dot Plots for Time Series Analysis, Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 05), 159–168 (2005). DOI:10.1109/ICTAI.2005.60 » Abstract
M. Yanli, L. Yuping, L. Bingzheng: Test nonlinear determinacy of electromyogram, Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), 7 VOLS(1615492), 4592–4595 (2005). DOI:10.1109/IEMBS.2005.1615492 » Abstract
C.-Z. Yao, Q.-W. Lin: Recurrence plots analysis of the CNY exchange markets based on phase space reconstruction, The North American Journal of Economics and Finance, 42, 584–596 (2017). DOI:10.1016/j.najef.2017.08.015 » Abstract
B. Yao, Y. Chen, H. Yang: Constrained Markov Decision Process Modeling for Optimal Sensing of Cardiac Events in Mobile Health, IEEE Transactions on Automation Science and Engineering, 19(2), 1017–1029 (2022). DOI:10.1109/TASE.2021.3052483 » Abstract
B. Yao, F. Lin, Z. Luo, Q. Chen, D. Lin, Z. Yang, J. Li, J. Qu: Recent Progress in Deep Learning for Improving Coherent Anti-Stokes Raman Scattering Microscopy, Laser & Photonics Reviews, 18(1), 2400562 (2024). DOI:10.1002/lpor.202400562 » Abstract
E. Yargholi, A. M. Nasrabadi: Chaos-chaos transition of left hemisphere EEGs during standard tasks of Waterloo-Stanford Group Scale of hypnotic susceptibility, Journal of Medical Engineering & Technology, 39(5), 281–285 (2015). DOI:10.3109/03091902.2015.1048317 » Abstract
E. Yargholi, A. M. Nasrabadi: Recurrence quantification analysis of electroencephalograph signals during standard tasks of Waterloo-Stanford group scale of hypnotic susceptibility, Journal of Medical Engineering & Technology, 39(1), 26–34 (2015). DOI:10.3109/03091902.2014.973616 » Abstract
E. Yargholi, G.-A. Hossein-Zadeh: Cross recurrence quantifiers as new connectivity measures for structure learning of Bayesian networks in brain decoding, Chaos, Solitons & Fractals, 123, 263–274 (2019). DOI:10.1016/j.chaos.2019.04.019 » Abstract
S. Yasunaga, S. Nakaya, M. Tsue: Combustion instability analysis in an ethylene-fueled scramjet combustor under various fuel penetration height conditions using an image-based nonlinear dimensionality reduction method, Proceedings of the Combustion Institute, 40(1–4), 105302 (2024). DOI:10.1016/j.proci.2024.105302 » Abstract
Y. Ye, Z. Wan, B. Liu, H. Xu, Q. Wang, T. Ding: Monitoring deterioration of knee osteoarthritis using vibration arthrography in daily activities, Computer Methods and Programs in Biomedicine, 213, 106519 (2022). DOI:10.1016/j.cmpb.2021.106519 » Abstract
X. Ye, Y. Huang, Z. Bai, Y. Wang: A novel approach for sports injury risk prediction: based on time-series image encoding and deep learning, Frontiers in Physiology, 14, 1174525 (2023). DOI:10.3389/fphys.2023.1174525 » Abstract
S. Yen, S. Qian, E. Folmar, C. J. Hasson, C. Chou: Recurrence Quantification Analysis of Ankle Kinematics During Gait in Individuals With Chronic Ankle Instability, Frontiers in Sports and Active Living, 4, 893745 (2022). DOI:10.3389/fspor.2022.893745 » Abstract
J. M. Yentes, W. Denton, K. Samson, K. K. Schmid, C. Wiens, S. I. Rennard: Energy efficient physiologic coupling of gait and respiration is altered in chronic obstructive pulmonary disease, Acta Physiologica, 225(4), e13217 (2019). DOI:10.1111/apha.13217 » Abstract
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Y. Zeng, R. Liu, X. Liu: A novel approach to tool condition monitoring based on multi-sensor data fusion imaging and an attention mechanism, Measurement Science and Technology, 32(5), 055601 (2021). DOI:10.1088/1361-6501/abea3f » Abstract
W. Zeng, L. Ma, Y. Zhang: Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers, Multimedia Tools and Applications, 83, 11977–11998 (2024). DOI:10.1007/s11042-023-15772-5 » Abstract
Q. Zeng, C. Hu, J. Sun, Y. Shen, K. Miao: Monitoring of Thermoacoustic Combustion Instability via Recurrence Quantification Analysis and Optimized Deep Belief Network, Symmetry, 16(3), 266 (2024). DOI:10.3390/sym16030266 » Abstract
M. Zervou, G. Tzagkarakis, P. Tsakalides: Automated screening of dyslexia via dynamical recurrence analysis of wearable sensor data, Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2019), 770–774 (2019). DOI:10.1109/BIBE.2019.00144 » Abstract
M. Zervou, G. Tzagkarakis, A. Panousopoulou, P. Tsakalides: A self-tuned architecture for human activity recognition based on a dynamical recurrence analysis of wearable sensor data, Proceedings of the European Signal Processing Conference (EUSIPCO 2019) (2019). DOI:10.23919/EUSIPCO.2019.8902969 » Abstract
M. A. Zervou, G. Tzagkarakis, P. Tsakalides: Automated Screening of Dyslexia via Dynamical Recurrence Analysis of Wearable Sensor Data, Proceedings of the IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE 2019), 770–774 (2019). DOI:10.1109/BIBE.2019.00144 » Abstract
M. Zervou, E. Doutsi, P. Pavlidis, P. Tsakalides: Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs, Bioinformatics, 37(13), 1796–1804 (2021). DOI:10.1093/bioinformatics/btab407 » Abstract
M. Zervou, E. Doutsi, P. Pavlidis, P. Tsakalides: Efficient dynamic analysis of low-similarity proteins for structural class prediction, Proceedings of the European Signal Processing Conference (EUSIPCO 2020), 2021-January, 1328–1332 (2021). DOI:10.23919/Eusipco47968.2020.9287619 » Abstract
L. Zhai, P. Bian, Y. Han, Z. Gao, N. Jin: The measurement of gas-liquid two-phase flows in a small diameter pipe using a dual-sensor multi-electrode conductance probe, Measurement Science and Technology, 27(4), 045101 (2016). DOI:10.1088/0957-0233/27/4/045101 » Abstract
L. Zhai, Y. Wu, J. Yang, H. Xie: Characterizing initiation of gas–liquid churn flows using coupling analysis of multivariate time series, Physica A, 540, 123099 (2020). DOI:10.1016/j.physa.2019.123099 » Abstract
L. Zhai, Y. Wang, J. Yang, Y. Wu: Cost-based recurrence analysis of conductance time series for gas-liquid two-phase flow system, International Journal of Modern Physics C, 32(12), 2150161 (2021). DOI:10.1142/S0129183121501618 » Abstract
L. Zhai, J. Yang, Y. Wang: An investigation of transition processes from transient gas–liquid plug to slug flow in horizontal pipe: Experiment and Cost-based recurrence analysis, Nuclear Engineering and Design, 379, 111253 (2021). DOI:10.1016/j.nucengdes.2021.111253 » Abstract
L. Zhai, X. Meng, J. Qiao, Y. Huang, W. Wang: Measurement of water holdup in slug region of oil-gas-water intermittent flow by plug-in conductance sensors, Flow Measurement and Instrumentation, 102, 102832 (2025). DOI:10.1016/j.flowmeasinst.2025.102832 » Abstract
W. L. Zhan, J. F. Wang: Voice Activity Detection Based on Nonlinear Processing Techniques, Applied Mechanics and Materials, 198–199, 1560–1566 (2012). DOI:10.4028/www.scientific.net/AMM.198-199.1560 » Abstract
J. Zhang, X. Luo, M. Small: Detecting chaos in pseudoperiodic time series without embedding, Physical Review E, 73(1), 016216 (2006). DOI:10.1103/PhysRevE.73.016216 » Abstract
J. Zhang, M. Small: Complex network from pseudoperiodic time series: Topology versus dynamics, Physical Review Letters, 96(23), 238701 (2006). DOI:10.1103/PhysRevLett.96.238701 » Abstract
J. Zhang, J. Sun, X. Luo, K. Zhang, T. Nakamura, M. Small: Characterizing pseudoperiodic time series through the complex network approach, Physica D, 237(22), 2856–2865 (2008). DOI:10.1016/j.physd.2008.05.008 » Abstract
W. Zhang, G. Worrell, B. He: Recurrence based deterministic trends in EEG records of epilepsy patients, Proceedings of the International Conference on Technology and Applications in Biomedicine ITAB 2008, 391–394 (2008). DOI:10.1109/ITAB.2008.4570657 » Abstract
L.-Y. Zhang, C.-C. Bao, X. Liu, X.-T. Zhang, F. Bao, B. Bu: Audio classification algorithm based on nonlinear characteristics analysis, Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2011), 923–926 (2011). » Abstract
L.-Y. Zhang, C.-C. Bao, X. Liu, X.-T. Zhang: Bandwidth extension method based on nonlinear audio characteristics classification, Tongxin Xuebao/ Journal on Communication, 34(8), 120–130 (2013). DOI:10.3969/j.issn.1000-436x.2013.08.016 » Abstract
S. Zhang, H. Bao, P. Li, X. Li, W. Jiang: Fault diagnosis of rolling bearings based on RQA and GG clustering, Zhongguo Jixie Gongcheng/ China Mechanical Engineering, 26(10), 1385–1390 (2015). DOI:10.3969/j.issn.1004-132X.2015.10.019 » Abstract
Y. Zhang, S. Jin, Y. Wang, Y. Wang: Anomaly detection based on the dynamic feature of network traffic: Anomaly detection based on the dynamic feature of network traffic, In: Advances in Energy, Environment and Materials Science, Eds.: Y. Wang and J. Zhao, Taylor & Francis Group, London, ISBN: 978-1-138-02931-6, 781–789 (2016). DOI:10.1201/b19635-155 » Abstract
W. Zhang, G. Feng, Q. Liu: The Application of Recurrence Quantification Analysis in Detection of Abrupt Climate Change, Discrete Dynamics in Nature and Society, 2016, 2689429 (2016). DOI:10.1155/2016/2689429 » Abstract
T. Zhang, Y. Wang, G. Li: Effect of intermittent hypoxic training on hypoxia tolerance based on single-channel EEG, Neuroscience Letters, 617, 39–45 (2016). DOI:10.1016/j.neulet.2016.01.063 » Abstract
C. Zhang, D. Cai, W. Li, S. Guo, Y. Guan, X. Bian, W. Yao: Effect of the Long-Term Mean and the Temporal Stability of Water-Energy Dynamics on China's Terrestrial Species Richness, ISPRS International Journal of Geo-Information, 6(3), 58 (2017). DOI:10.3390/ijgi6030058 » Abstract
Y. Zhang, J. Wang: Linkage influence of energy market on financial market by multiscale complexity synchronization, Physica A, 516, 254–266 (2018). DOI:10.1016/j.physa.2018.10.038 » Abstract
N. Zhang, N. Wei, S. Yue, X. Tian, K. Li: Cross-Recurrence Quantification Analysis for Inter-Muscular Coordination during Power Grip at Different Force Levels, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018)), 2410–2413 (2018). DOI:10.1109/EMBC.2018.8512804 » Abstract
N. Zhang, K. Li, N. Wei, S. Yue, X. Tian: Research on Multiple Muscles Synergy Based on Joint Recurrence Quantification Analysis, Proceedings of the International Conference on Signal Processing (ICSP 2018), 1006–1009 (2018). DOI:10.1109/ICSP.2018.8652369 » Abstract
Q. Zhang, T. Tian, G. Wen, Z. Zhang: A New Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis, Shock and Vibration, 2018, 2913163 (2018). DOI:10.1155/2018/2913163 » Abstract
E. H. Zhang, D. S. Shan, Q. Li: Nonlinear and Non-Stationary Detection for Measured Dynamic Signal from Bridge Structure Based on Adaptive Decomposition and Multiscale Recurrence Analysis, Applied Sciences, 9(7), 1302 (2019). DOI:10.3390/app9071302 » Abstract
Z. Zhang, Z. Zhang, J. Tan, X. Wu: Quantitatively related acoustic emission signal with stress corrosion crack growth rate of sensitized 304 stainless steel in high-temperature water, Corrosion Science, 157, 79–86 (2019). DOI:10.1016/j.corsci.2019.05.030 » Abstract
M. Zhang, X. Li, L. Wang: An Adaptive Outlier Detection and Processing Approach towards Time Series Sensor Data, IEEE Access, 7, 175192–175212 (2019). DOI:10.1109/ACCESS.2019.2957602 » Abstract
Z. Zhang, X. Q. Wu, J. B. Tan: Laboratory-Scale Identification of Corrosion Mechanisms by a Pattern Recognition System Based on Electrochemical Noise Measurements, Journal of The Electrochemical Society, 166(12), C284–C295 (2019). DOI:10.1149/2.0761912jes » Abstract
Z. Zhang, X. Q. Wu: Correlated pitting stages of 304 stainless steel with recurrence quantification analysis of electrochemical noise, Materials and Corrosion, 70, 197–205 (2019). DOI:10.1002/maco.201810318 » Abstract
Q. Zhang, Z. Yuan, H. Chen, X. Li: Identifying mental workload using EEG and deep learning, Proceedings of the Chinese Automation Congress (CAC 2019), 1138–1142 (2019). DOI:10.1109/CAC48633.2019.8996821 » Abstract
Y. Zhang, Z. Zhao, C. Guo, J. Huang, K. Xu: ECG Biometrics Method Based on Convolutional Neural Network and Transfer Learning, Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2019), 8949218 (2019). DOI:10.1109/ICMLC48188.2019.8949218 » Abstract
E. Zhang, D. Shan, Q. Li: Nonlinear and nonstationary detection of weak bridge signals based on the multiscale recurrence plot theory, Zhendong yu Chongji/ Journal of Vibration and Shock, 38(16), 123–128 (2019). DOI:10.13465/j.cnki.jvs.2019.16.018 » Abstract
M. Zhang, Z. C. Zheng, H. Wu: Proper orthogonal decomposition and recurrence map for the identification of spatial-temporal patterns in a low-Re wake downstream of two cylinders, AIP Advances, 10, 035317 (2020). DOI:10.1063/1.5144978 » Abstract
Y. Zhang, Y. Shen: A New Route to Strange Nonchaotic Attractors in an Interval Map, International Journal of Bifurcation and Chaos, 30(4), 2050063 (2020). DOI:10.1142/S0218127420500637 » Abstract
Z. Zhang, X. Li, Z. Zhao, P. Bai, B. Liu, J. Tan, X. Wu: In-situ monitoring of pitting corrosion of Q235 carbon steel by electrochemical noise: Wavelet and recurrence quantification analysis, Journal of Electroanalytical Chemistry, 879, 114776 (2020). DOI:10.1016/j.jelechem.2020.114776 » Abstract
M. Zhang, W. Kalies, J. Kelso, E. Tognoli: Topological portraits of multiscale coordination dynamics, Journal of Neuroscience Methods, 339, 108672 (2020). DOI:10.1016/j.jneumeth.2020.108672 » Abstract
Y. Zhang, F. Gan, X. Chen: Motif difference field: An effective image-based time series classification and applications in machine malfunction detection, Proceedings of the 4th IEEE Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System (EI2 2020), , 3079–3083 (2020). DOI:10.1109/EI250167.2020.9346704 » Abstract
Y. Zhang, Y. Hou, S. Zhou, K. Ouyang: Encoding time series as multi-scale signed recurrence plots for classification using fully convolutional networks, Sensors, 20(14), 1–15 (2020). DOI:10.3390/s20143818 » Abstract
J. Zhang, M. Cheng, X. Ma, L. Wang, Y. Zhang: Monitoring the Operating Condition of Pipeline of Pumping Stations Based on Recurrence Theory, Zhendong Ceshi Yu Zhenduan/ Journal of Vibration, Measurement and Diagnosis, 40(3), 481–488 (2020). DOI:10.16450/j.cnki.issn.1004-6801.2020.03.008 » Abstract
N. Zhang, K. Li: Recurrence Networks Analysis of Multiple Muscles coordination of Forearm and Hand for the Grip and Pinch Control, Chinese Journal of Biomedical Engineering, 40(4), 438–445 (2021). DOI:10.3969/j.issn.0258-8021.2021.04.07 » Abstract
H. Zhang, C. Liu, Z. Zhang, Y. Xing, X. Liu, R. Dong, Y. He, L. Xia, F. Liu: Recurrence Plot-Based Approach for Cardiac Arrhythmia Classification Using Inception-ResNet-v2, Frontiers in Physiology, 12, 648950 (2021). DOI:10.3389/fphys.2021.648950 » Abstract
T. Zhang, W. Han, X. Fang, C. Song, Y. Wang, Q. Tian, W. Zhang, Z. Feng, M. Tan: Tectonic forcing of environmental transition in Central Asia at 11–9 Ma, Gondwana Research, 89, 19–30 (2021). DOI:10.1016/j.gr.2020.08.012 » Abstract
N. Zhang, K. Li, G. Li, R. Nataraj, N. Wei: Multiplex Recurrence Network Analysis of Inter-Muscular Coordination During Sustained Grip and Pinch Contractions at Different Force Levels, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 2055–2066 (2021). DOI:10.1109/TNSRE.2021.3117286 » Abstract
Z. Zhang, Z. Zhao, P. Bai, X. Li, B. Liu, J. Tan, X. Wu: In-situcd monitoring of pitting corrosion of AZ31 magnesium alloy by combining electrochemical noise and acoustic emission techniques, Journal of Alloys and Compounds, 878, 160334 (2021). DOI:10.1016/j.jallcom.2021.160334 » Abstract
H. Zhang, N. Anderson, K. Miller: Refixation Patterns of Mind-Wandering During Real- World Scene Perception, Journal of Experimental Psychology: Human Perception and Performance, 47(1), 36–52 (2021). DOI:10.1037/xhp0000877 » Abstract
S. Zhang, J. Pan, Z. Han, R. Qiu: Recognition of radar emitter signal images using encoding signal methods, Proceedings of SPIE – The International Society for Optical Engineering, 11933, 1193319 (2021). DOI:10.1117/12.2615139 » Abstract
Z. Zhang, J. Wu, Y. Chen, J. Wang, J. Xu: Distinguish between Stochastic and Chaotic Signals by a Local Structure-Based Entropy, Entropy, 24(12), 1752 (2022). DOI:10.3390/e24121752 » Abstract
H. Zhang, C. Liu, F. Tang, M. Li, D. Zhang, L. Xia, N. Zhao, S. Li, S. Crozier, W. Xu, F. Liu: Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning, Frontiers in Physiology, 13, 956320 (2022). DOI:10.3389/fphys.2022.956320 » Abstract
Z. Zhang, A. Licht, D. De, Z. Wang, Y. Li, D. Kemp, L. Tan, R. Zhang, X. Qiang, C. Huang: East Asian Monsoonal Climate Sensitivity Changed in the Late Pliocene in Response to Northern Hemisphere Glaciations, Geophysical Research Letters, 49(23), e2022GL101280 (2022). DOI:10.1029/2022GL101280 » Abstract
Z. Zhang, B. Wang, Z. Zhao, X. Li, B. Liu, P. Bai: Effect of chloride ion concentration on corrosion process of selective laser melted AlSi10Mg with different heat treatments studied by electrochemical noise, Journal of Materials Research and Technology, 16, 1597–1609 (2022). DOI:10.1016/j.jmrt.2021.12.102 » Abstract
Y. Zhang, M. Zheng, R. Zhu, R. Ma: Adulteration discrimination and analysis of fresh and frozen-thawed minced adulterated mutton using hyperspectral images combined with recurrence plot and convolutional neural network, Meat science, 192, 108900 (2022). DOI:10.1016/j.meatsci.2022.108900 » Abstract
S. G. Zhang, A. Singhvi, K. M. Susman, H. M. Hastings, J. Magnes: Dynamic Markers for Chaotic Motion in C. elegans, Nonlinear Dynamics, Psychology, and Life Sciences, 26(1), 21–43 (2022). https://www.societyforchaostheory.org/ndpls/askFILE.cgi?vol=26&iss=01&art=02&desc=ABSTRACT » Abstract
Y. Zhang, Y. Hou, K. OuYang, S. Zhou: Multi-scale signed recurrence plot based time series classification using inception architectural networks, Pattern Recognition, 123, 108385 (2022). DOI:10.1016/j.patcog.2021.108385 » Abstract
Q. Zhang, Y. Zhang, Z. Wu: Multiple time scales of the southern annular mode, Climate Dynamics, 61, 1–18 (2023). DOI:10.1007/s00382-022-06476-x » Abstract
B. Zhang, P. Shang, X. Mao, J. Liu: Dispersion heterogeneous recurrence analysis and its use on fault detection, Communications in Nonlinear Science and Numerical Simulation, 117, 106902 (2023). DOI:10.1016/j.cnsns.2022.106902 » Abstract
D. Zhang, B. Lu, J. Guo, Y. He, H. Liu: Assessment of Visual Motor Integration via Hand-Drawn Imitation: A Pilot Study, Electronics, 12(13), 2776 (2023). DOI:10.3390/electronics12132776 » Abstract
H. Zhang, C. Liu, F. Tang, M. Li, D. Zhang, L. Xia, S. Crozier, H. Gan, N. Zhao, W. Xu, F. Liu: Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network, Frontiers in Physiology, 14, 1070621 (2023). DOI:10.3389/fphys.2023.1070621 » Abstract
L. Zhang, Y. Hu, L. Zhao, H. Zhang, X. Wang, P. Wen: Fault Diagnosis of Rolling Bearings Using Recurrence Plot Coding Technique and Residual Network, Hsi-An Chiao Tung Ta Hsueh/ Journal of Xi'an Jiaotong University, 57(2), 110 – 120 (2023). DOI:10.7652/xjtuxb202302012 » Abstract
H. Zhang, D. Guo, Y. Guo, F. Wu, S. Gao: A Novel Method for the Driver Lane-Changing Intention Recognition, IEEE Sensors Journal, 23(17), 20437–20451 (2023). DOI:10.1109/JSEN.2023.3299253 » Abstract
C. Zhang, W. Jiao: ImgFi: A High Accuracy and Lightweight Human Activity Recognition Framework Using CSI Image, IEEE Sensors Journal, 23(18), 21966–21977 (2023). DOI:10.1109/JSEN.2023.3296445 » Abstract
S. Zhang, X. Chen, P. Rao, H. Zhang: Visualization of radiation intensity sequences for space infrared target recognition, Proceedings of SPIE, 12505, 125051W (2023). DOI:10.1117/12.2665173 » Abstract
C. Zhang, W. Jiao, W. Du: Enhancing Human Activity Recognition Performance in Small-Sample Wi-Fi Sensing Using Data Augmentation Methods, Proceedings of the 23rd International Conference on Communication Technology (ICCT 2023), , 473–478 (2023). DOI:10.1109/ICCT59356.2023.10419506 » Abstract
H. Zhang, C. Liu, F. Tang, M. Li, L. Xia, S. Crozier, W. Xu, F. Liu: AF automatic classification based on different time-delay values of the recurrence plot, Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), 2023, 1–4 (2023). DOI:10.1109/EMBC40787.2023.10340928 » Abstract
X. Zhang, T. Zhang, L. Li, J. Zhang: Real-time prediction for the surge of turboshaft engine using multi-branch feature fusion neural network, Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering, 237(2), none (2023). DOI:10.1177/09544100221097586 » Abstract
S. G. Zhang, C. Dwyer, J. Magnes: Temporal Divergence of C. elegans Locomotion, In: Springer Proceedings in Complexity: 16th Chaotic Modeling and Simulation International Conference, Eds.: C. H. Skiadas and Y. Dimotikalis, Springer, Cham, ISBN: 978-3-031-60906-0, 681–697 (2024). DOI:10.1007/978-3-031-60907-7_47 » Abstract
G. Zhang, S. Shao, T. Huang: A high-data-rate hybrid index communication system based on quadrature chaos shift keying, Chaos, Solitons & Fractals, 185, 115117 (2024). DOI:10.1016/j.chaos.2024.115117 » Abstract
H. Zhang, F. Wu, D. Guo, S. Gao: What Are the Differences in Driver Lane-Changing Intention Models Recognition Performance Between Connected and Non-Connected Environments, IEEE Transactions on Intelligent Transportation Systems, 25(9), 10896–10911 (2024). DOI:10.1109/TITS.2024.3358743 » Abstract
X. Zhang, G. Xu, X. Chen, R. Chen, J. Xie, P. Tian, S. Zhang, Q. Wu: Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning, Measurement Science and Technology, 35(7), 076118 (2024). DOI:10.1088/1361-6501/ad3be1 » Abstract
Z. Zhang, E. Rohling, D. Kemp, Z. Wang, C. Huang: Orbital-Scale Global Ocean Sea Surface Temperatures Coupling With Cryosphere-Carbon Cycle Changes Over the Past 4 Million Years, Paleoceanography and Paleoclimatology, 39(7), e2024PA004856 (2024). DOI:10.1029/2024PA004856 » Abstract
B. Zhang: Multimodal Machine Learning Algorithm for Enhanced Signal Modulation Recognition in Wireless Communication Systems, Proceedings of the IEEE 49th Conference on Local Computer Networks (LCN 2024), 1–6 (2024). DOI:10.1109/LCN60385.2024.10639739 » Abstract
C. Zhang, X. Liu, D. Wei, L. Bo: Quantitative characterization of fatigue damage in plate structures based on FSOM, Smart Materials and Structures, 33(8), 085002 (2024). DOI:10.1088/1361-665X/ad5a58 » Abstract
C. Zhang, X. Liu, D. Wei, L. Bo: Enhanced probabilistic damage localization for composite plate based on joint recurrence plots, Composite Structures, 352, 118671 (2025). DOI:10.1016/j.compstruct.2024.118671 » Abstract
M. Zhang, D. Li, G. Li, D. Lu: Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning, Geo-Spatial Information Science, 28(1), 145–163 (2025). DOI:10.1080/10095020.2024.2336604 » Abstract
Z. Zhang, J. Nie, A. Licht, N. Cogne, A. Sarr, T. Shen, X. Liu, W. Wang, P. Gao, L. Li, M. Poujol, A. Guihou, P. Deschamps, L. Hao: Anti-phase variation of long eccentricity and precipitation in inland Asia during the Middle Miocene Climatic Optimum, Geological Society of America Bulletin, 137(1–2), 51–66 (2025). DOI:10.1130/B37333.1 » Abstract
Y. Zhang, X. Yan, P. Xiao, J. Zou, L. Hu: A fault diagnosis method for bearings and gears in rotating machinery based on data fusion and transfer learning, Measurement Science and Technology, 36(1), 016104 (2025). DOI:10.1088/1361-6501/ad7f74 » Abstract
P. Zhao, Y. Zhou, B. Sun: Application of recurrence quantification analysis to fault diagnosis of centrifugal pump, Zhendong Ceshi Yu Zhenduan/ Journal of Vibration, Measurement and Diagnosis, 30(6), 612–616 (2010). » Abstract
Z. Q. Zhao, S. C. Li: Identifying spatial patterns and dynamic of climate change using recurrence quantification analysis – case study of Qinghai-Tibet Plateau, International Journal of Bifurcation and Chaos, 21(4), 1127–1139 (2011). DOI:10.1142/S0218127411028933 » Abstract
Y. Zhao, T. Weng, M. Small: Response of the parameters of a neural network to pseudoperiodic time series, Physica D, 268, 79–90 (2014). DOI:10.1016/j.physd.2013.11.002 » Abstract
Y. Zhao, T. Weng, S. Ye: Geometrical invariability of transformation between a time series and a complex network, Physical Review E, 90, 012804 (2014). DOI:10.1103/PhysRevE.90.012804 » Abstract
Z. Zhao, J. Liu, J. Peng, S. Li, Y. Wang: Nonlinear features and complexity patterns of vegetation dynamics in the transition zone of North China, Ecological Indicators, 49, 237–246 (2015). DOI:10.1016/j.ecolind.2014.08.038 » Abstract
H. Zhao, G. Li, D. Zhao, Z. Zhang, D. Sun, W. Yang, S. Li, Z. Lu, Y. Zheng: Experimental study of equivalence ratio and fuel flow rate effects on nonlinear thermoacoustic instability in a swirl combustor, Applied Energy, 208, 123–131 (2017). DOI:10.1016/j.apenergy.2017.10.061 » Abstract
J. Zhao, A. Nemes, D. L. Jacono, J. Sheridan: Branch/mode competition in the flow-induced vibration of a square cylinder, Philosophical Transactions of the Royal Society A, 376(20170243), 1–16 (2018). DOI:10.1098/rsta.2017.0243 » Abstract
C. Y. Zhao, M. Zeng, E. H. Wang, J. J. Han, Q. H. Meng: Quantification Analysis of Time Series Based on 2D Visibility State Plot, Proceedings of the 13th World Congress On Intelligent Control And Automation (WCICA 2018), 831–836 (2018). DOI:10.1109/WCICA.2018.8630751 » Abstract
Z. D. Zhao, Y. Zhang, Z. E. Comert, Y. J. Deng: Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network, Frontiers in Physiology, 10, 255 (2019). DOI:10.3389/fphys.2019.00255 » Abstract
Y. Zhao, X. Peng, M. Small: Reciprocal characterization from multivariate time series to multilayer complex networks, Chaos, 30(1), 013137 (2020). DOI:10.1063/1.5112799 » Abstract
X. Zhao, G. Sun: A Multi-Class Automatic Sleep Staging Method Based on Photoplethysmography Signals, Entropy, 23(1), 116 (2021). DOI:10.3390/e23010116 » Abstract
J. Zhao, Z. Zhang, L. Wan, X. Li, J. Kang: Electroencephalogram feature extraction and classification of autistic children based on recurrence quantification analysis, Shengwu yixue gongchengxue zazhi/ Journal of biomedical engineering, 38(4), 663–670 (2021). DOI:10.7507/1001-5515.202010082 » Abstract
D. Zhao: Nonlinear dynamics of thermoacoustic combustors, In: Thermoacoustic Combustion Instability Control: Engineering Applications and Computer Codes, Academic Press, London, ISBN: 978-0-323-89910-9, 113–201 (2023). DOI:10.1016/C2020-0-03374-8 » Abstract
K. Zhao, H. Wen, Y. Guo, A. Scano, Z. Zhang: Feasibility of recurrence quantification analysis (RQA) in quantifying dynamical coordination among muscles, Biomedical Signal Processing and Control, 79(1), 104042 (2023). DOI:10.1016/j.bspc.2022.104042 » Abstract
Y. Zhao, Y. He, Z. Xing, B. Du: Open-circuit fault diagnosis method of DAB converter based on information fusion and DRSN, Dianli Zidonghua Shebei/E lectric Power Automation Equipment, 43(2), 112–118 (2023). DOI:10.16081/j.epae.202207010 » Abstract
W. Zhao, Z. Chang, C. Ma, Z. Shen: A Pseudorandom Number Generator Based on the Chaotic Map and Quantum Random Walks, Entropy, 25(1), 166 (2023). DOI:10.3390/e25010166 » Abstract
Y. Zhao, F. Dong, T. Sun, Z. Ju, L. Yang, P. Shan, L. Li, X. Lv, C. Lian: Image expression of time series data of wearable IMU sensor and fusion classification of gymnastics action, Expert Systems with Applications, 238(Part D), 121978 (2024). DOI:10.1016/j.eswa.2023.121978 » Abstract
Z. Zhao, Z. Jin, G. Wu, C. Li, J. Yu: TriFNet: A triple-branch feature fusion network for pH determination by surface-enhanced Raman spectroscopy, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 312, 124048 (2024). DOI:10.1016/j.saa.2024.124048 » Abstract
W. Zhao, C. Ma: Modification of Intertwining Logistic Map and a Novel Pseudo Random Number Generator, Symmetry, 16(2), 169 (2024). DOI:10.3390/sym16020169 » Abstract
Y. Zhao, J. Shao, X. Lin, T. Sun, J. Li, C. Lian, X. Lyu, B. Si, Z. Zhan: CIR-DFENet: Incorporating cross-modal image representation and dual-stream feature enhanced network for activity recognition, Expert Systems with Applications, 266, 125912 (2025). DOI:10.1016/j.eswa.2024.125912 » Abstract
H. Zhao, W. Wang, X. Xu, H. Zhong, D. Wei, X. Liu: Understanding Electric Current Effects on Tribological Behaviors of Instantaneous Current-Carrying Pair With Recurrence Plot, Journal of Tribology, 147(5), 051101 (2025). DOI:10.1115/1.4065812 » Abstract
W. Zhen, W. Junsong, S. Deli, B. Xuejun: Non-linear Analysis of Event-Related Potential Signal Based on Recurrent Plot Approach, Proceedings of the 2nd International Conference on Biomedical Engineering and Informatics (BMEI '09), 1–4, 1701–1705 (2009). DOI:10.1109/BMEI.2009.5305378 » Abstract
G. Zheng, N. Jin, X. Jia, L. Bai: Multi-scale and nonlinear analysis of two phase flow pattern in measurement channel of concentrating type conductance sensor, Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA 2008, 8393–8398 (2008). DOI:10.1109/WCICA.2008.4594245 » Abstract
J. Zheng, H. Hu: A novel method of constructing high-dimensional digital chaotic systems on finite-state automata, Chinese Physics B, 29(9), 090502 (2020). DOI:10.1088/1674-1056/aba60f » Abstract
S. Zheng, Z. Tan, W. Xing, X. Zhou, P. Zhao, X. Yin, H. Hu: A comparative exploration of the chaotic characteristics of Chinese and international copper futures prices, Resources Policy, 78, 102790 (2022). DOI:10.1016/j.resourpol.2022.102790 » Abstract
H. Zheng, X. Xiong, X. Zhang: Multi-Threshold Recurrence Rate Plot: A Novel Methodology for EEG Analysis in Alzheimer's Disease and Frontotemporal Dementia, Brain Sciences, 14(6), 565 (2024). DOI:10.3390/brainsci14060565 » Abstract
J. Zheng, S. Li, T. Wang, S. P. Lajoie: Unveiling emotion dynamics in problem-solving: a comprehensive analysis with an intelligent tutoring system using facial expressions and electrodermal activities, International Journal of Educational Technology in Higher Education, 21, 33 (2024). DOI:10.1186/s41239-024-00462-5 » Abstract
W.-X. Zhou, D. Sornette: Non-parametric determination of real-time lag structure between two time series: The "optimal thermal causal path" method with applications to economic data, Journal of Macroeconomics, 28(1), 195–224 (2006). DOI:10.1016/j.jmacro.2005.10.015 » Abstract
W.-X. Zhou, D. Sornette: Lead-lag cross-sectional structure and detection of correlated-anticorrelated regime shifts: Application to the volatilities of inflation and economic growth rates, Physica A, 380(1–2), 287–296 (2007). DOI:10.1016/j.physa.2007.02.114 » Abstract
Y. Zhou, Z.-G. Yu, V. Anh: Cluster protein structures using recurrence quantification analysis on coordinates of alpha-carbon atoms of proteins, Physics Letters A, 368(3–4), 314–319 (2007). DOI:10.1016/j.physleta.2007.04.012 » Abstract
F. Zhou, F. D. L.Torre, J. K. Hodgins: Hierarchical aligned cluster analysis for temporal clustering of human motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(3), 582–596 (2013). DOI:10.1109/TPAMI.2012.137 » Abstract
Y. Zhou, F. Wang: Recurrence analysis of pressure fluctuation in fluidized bed, Huaxue Gongcheng/ Chemical Engineering (China), 42(12), 39–42 (2014). DOI:10.3969/j.issn.1005-9954.2014.12.009 » Abstract
C. Zhou, W. Zhang: A New Process Monitoring Method Based on Waveform Signal by Using Recurrence Plot, Entropy, 17(9), 6379–6396 (2015). DOI:10.3390/e17096379 » Abstract
C. Zhou, W. Zhang: Recurrence Plot Based Damage Detection Method by Integrating T^2 Control Chart, Entropy, 17(5), 2624–2641 (2015). DOI:10.3390/e17052624 » Abstract
C. Zhou, K. Liu, X. Zhang, W. Zhang, J. Shi: An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes, IEEE Transactions on Automation Science and Engineering, pp(99), 1–10 (2015). DOI:10.1109/TASE.2015.2468058 » Abstract
S. Zhou, Y. Feng, W.-Y. Wu: Chaos and fractal properties of solar activity phenomena at the high and low latitudes, Wuli Xuebao/ Acta Physica Sinica, 64(24), 249601 (2015). DOI:10.7498/aps.64.249601 » Abstract
C. Zhou, K. B. Liu, X. Zhang, W. D. Zhang, J. J. Shi: An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes, IEEE Transactions on Automation Science and Engineering, 13(2), 1102–1111 (2016). DOI:10.1109/TASE.2015.2468058 » Abstract
B. Zhou, Y. Cheng: Fault Diagnosis for Rolling Bearing under Variable Conditions Based on Image Recognition, Shock and Vibration, 2016, 1948029 (2016). DOI:10.1155/2016/1948029 » Abstract
Y. K. Zhou, X. Tang, X. Zuo, H. Zhu, C. B. Ma: Incipient wear fault diagnosis using a modified change detection method, Tribology International, 137, 164–172 (2019). DOI:10.1016/j.triboint.2019.04.036 » Abstract
K. Zhou: Enhanced feature extraction for machinery condition monitoring using recurrence plot and quantification measure, International Journal of Advanced Manufacturing Technology, 123(9–10), 3421–3436 (2022). DOI:10.1007/s00170-022-10392-z » Abstract
H. Zhou, C. Tao, S. Meng, K. Cen: Nonlinear Dynamic Characteristics of Turbulent Non-Premixed Acoustically Perturbed Swirling Flames, Journal of Thermal Science, 31, 882–894 (2022). DOI:10.1007/s11630-022-1473-4 » Abstract
Y. Zhou, M. Peng, X. Zuo, J. Xu: Correlation between friction coefficient and friction vibration in running-in process based on cross recurrence plots, Journal of Tribology, 144(1), 011703 (2022). DOI:10.1115/1.4050806 » Abstract
C. Zhou, L. Wang, J. Shen, C. Chen, Y. Ou, H. Feng: Wear Characterization of Raceway Surface Profiles of Ball Screws, Journal of Tribology, 144(11), 111701 (2022). DOI:10.1115/1.4054319 » Abstract
Y. Zhou, G. Zhi, W. Chen, Q. Qian, D. He, B. Sun, W. Sun: A new tool wear condition monitoring method based on deep learning under small samples, Measurement, 189, 110622 (2022). DOI:10.1016/j.measurement.2021.110622 » Abstract
Y. Zhou, R. Zhu, H. Zhao, X. Zuo: Influence of noise on wear fault diagnosis based on recurrence plot, Measurement, 205, 112158 (2022). DOI:10.1016/j.measurement.2022.112158 » Abstract
Y. Zhou, S. Gao, M. Sun, Y. Zhou, Z. Chen, J. Zhang: Recognizing Chaos by Deep Learning and Transfer Learning on Recurrence Plots, International Journal of Bifurcation and Chaos, 33(10), 2350116 (2023). DOI:10.1142/S021812742350116X » Abstract
X. Zhou, H. Xing, R. Ye: Small Target Detection Method on Sea Surface Based on T-GCN, Proceedings of 16th International Conference on Electronic Measurement and Instruments (ICEMI 2023), 88–92 (2023). DOI:10.1109/ICEMI59194.2023.10270595 » Abstract
Y. Zhou, Z. Wang, X. Zuo, H. Zhao: Identification of wear mechanisms of main bearings of marine diesel engine using recurrence plot based on CNN model, Wear, 520–521, 204656 (2023). DOI:10.1016/j.wear.2023.204656 » Abstract
Y. Zhou, Z. Wang, X. Zuo: Improving running-in quality of Babbitt alloy using h-BN as oil additives, Wear, 524–525, 204807 (2023). DOI:10.1016/j.wear.2023.204807 » Abstract
X. Zhou, Y. Zhang, Z. Yu, L. Cao, W. Li: Anomaly detection for bridge health monitoring data based on multiple encoded images and convolutional neural network, Structure and Infrastructure Engineering, , (in press). DOI:10.1080/15732479.2024.2421349 » Abstract
T. Zhu, L. Huang, S. Zhang, Y. Huang: Predicting Epileptic Seizure by Recurrence Quantification Analysis of Single-Channel EEG, Lecture Notes in Computer Science, 5226, 438–445 (2008). DOI:10.1007/978-3-540-87442-3 » Abstract
L. Zhu, Z. Zhong, X. Wang, Z. Wang, H. Wang: Chaotic analysis and flow regimes identification for pressure fluctuation of gas-solid fluidized beds, Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University, 46(6), 1240–1245 (2016). DOI:10.3969/j.issn.1001-0505.2016.06.022 » Abstract
H. Zhu, X. Zuo, Y. Zhou: Recurrence evolvement of brass surface profile in lubricated wear process, Wear, 352–353, 9–17 (2016). DOI:10.1016/j.wear.2016.01.022 » Abstract
X. Zhu, D. Zhao, Y. Zhang, X. Zhang, Z. Tao: Multi-Scale Recurrence Quantification Measurements for Voice Disorder Detection, Applied Sciences, 12(18), 9196 (2022). DOI:10.3390/app12189196 » Abstract
M. Zhu, H. Xu, X. Gao, M. Wang, A. L. M. Vilela, L. Tian: Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network, Energies, 15(15), 5540 (2022). DOI:10.3390/en15155540 » Abstract
H. Zhu, J. Huang: A New Method for Determining the Embedding Dimension of Financial Time Series Based on Manhattan Distance and Recurrence Quantification Analysis, Entropy, 24(9), 1298 (2022). DOI:10.3390/e24091298 » Abstract
H. Zhu, J. Huang: Recurrence plot analysis of stock market based on CAPM model and stock price time series, Fluctuation and Noise Letters, 22(1), 2350006 (2023). DOI:10.1142/S0219477523500062 » Abstract
X. Zhu, W. Huang: Assessing extreme significant wave height in China's coastal waters under climate change, Frontiers in Marine Science, 11, 1494127 (2024). DOI:10.3389/fmars.2024.1494127 » Abstract
L. Zhuang, N. Jin, A. Zhao, Z. Gao, L. Zhai, Y. Tang: Nonlinear multi-scale dynamic stability of oil–gas–water three-phase flow in vertical upward pipe, Chemical Engineering Journal, 302, 595–608 (2016). DOI:10.1016/j.cej.2016.05.081 » Abstract
H. Ziaei-Halimejani, R. Zarghami, N. Mostoufi: Investigation of hydrodynamics of gas-solid fluidized beds using cross recurrence quantification analysis, Advanced Powder Technology, 28(4), 1237–1248 (2017). DOI:10.1016/j.apt.2017.02.010 » Abstract
H. Ziaei-Halimejani, R. Zarghami, N. Mostoufi: Recognition of Particle Size Changes in Fluidized Beds by Recurrence and Cross Recurrence Quantification Analyses, Industrial & Engineering Chemistry Research, 57(34), 11778–11784 (2018). DOI:10.1021/acs.iecr.8b00054 » Abstract
H. Ziaei-Halimejani, S. Kouzbour, R. Zarghami, R. Sotudeh-Gharebagh, B. Gourich, N. Mostoufi, Y. Stiriba: Monitoring of the bubble columns hydrodynamics by recurrence quantification data analysis, Chemical Engineering Research and Design, 171, 100–110 (2021). DOI:10.1016/j.cherd.2021.05.002 » Abstract
H. Ziaei-Halimejani, N. Nazemzadeh, R. Zarghami, K. Gernaey, M. Andersson, S. Mansouri, N. Mostoufi: Unsupervised Monitoring of Flocculation Processes based on Recurrence Theory, Computer Aided Chemical Engineering, 50, 1389–1394 (2021). DOI:10.1016/B978-0-323-88506-5.50214-X » Abstract
H. Ziaei-Halimejani, N. Nazemzadeh, R. Zarghami, K. Gernaey, M. Andersson, S. Mansouri, N. Mostoufi: Fault diagnosis of chemical processes based on joint recurrence quantification analysis, Computers and Chemical Engineering, 155, 107549 (2021). DOI:10.1016/j.compchemeng.2021.107549 » Abstract
H. Ziaei-Halimejani, R. Zarghami, S. Soheil Mansouri, N. Mostoufi: Data-Driven Fault Diagnosis of Chemical Processes Based on Recurrence Plots, Industrial & Engineering Chemistry Research, 60(7), 3038–3055 (2021). DOI:10.1021/acs.iecr.0c06307 » Abstract
H. Ziaei-Halimejani, R. Zarghami, N. Mostoufi: Joint recurrence based root cause analysis of nonlinear multivariate chemical processes, Journal of Process Control, 103, 19–33 (2021). DOI:10.1016/j.jprocont.2021.05.008 » Abstract
G. Zimatore, A. Giuliani, C. Parlapiano, G. Grisanti, A. Colosimo: Revealing deterministic structures in click-evoked otoacoustic emissions, Journal of Applied Physiology, 88(4), 1431–1437 (2000). DOI:10.1152/jappl.2000.88.4.1431 » Abstract
G. Zimatore, S. Hatzopoulos, A. Giuliani, A. Martini, A. Colosimo: Comparison of transient otoacoustic emission responses from neonatal and adult ears, Journal of Applied Physiology, 92(6), 2521–2528 (2002). DOI:10.1152/japplphysiol.01163.2001 » Abstract
G. Zimatore , A. Giuliani, S. Hatzopoulos, A. Martini, A. Colosimo: Invariant and Subject-Dependent Features of Otoacoustic Emissions, Lecture Notes in Computer Science, 2526, 158–166 (2002). DOI:10.1007/3-540-36104-9_18 » Abstract
G. Zimatore, A. Giuliani, S. Hatzopoulos, A. Martini, A. Colosimo: Otoacoustic emissions at different click intensities: invariant and subject-dependent features, Journal of Applied Physiology, 95, 2299–2305 (2003). DOI:10.1152/japplphysiol.00667.2003 » Abstract
G. Zimatore, A. Fetoni, G. Paludetti, M. Cavagnaro, M. V. Podda, D. Troiani: Post-processing analysis of transient-evoked otoacoustic emissions to detect 4 kHz-notch hearing impairment – a pilot study, Medical Science Monitor, 17(6), MT 41–49 (2011). DOI:10.12659/MSM.881793 » Abstract
G. Zimatore, M. Cavagnaro: Recurrence Analysis of Otoacoustic Emissions, In: Recurrence Quantification Analysis – Theory and Best Practices, Eds.: C. L. Webber, Jr. and N. Marwan, Springer, Cham, 253–278 (2015). DOI:10.1007/978-3-319-07155-8_8 » Abstract
G. Zimatore, G. Garilli, M. Poscolieri, C. Rafanelli, F. T. Gizzi: The remarkable coherence between two Italian far away recording stations points to a role of acoustic emissions from crustal rocks for earthquake analysis, Chaos, 27, 043101 (2017). DOI:10.1063/1.4979351 » Abstract
G. Zimatore, M. C. Gallotta, L. Innocenti, V. Bonavolont`a, G. Ciasca, M. De Spirito, L. Guidetti, C. Baldari: Recurrence quantification analysis of heart rate variability during continuous incremental exercise test in obese subjects, Chaos, 30, 033135 (2020). DOI:10.1063/1.5140455 » Abstract
G. Zimatore, M. Cavagnaro, P. Skarzynski, A. Fetoni, S. Hatzopoulos: Detection of age-related hearing losses (Arhl) via transient-evoked otoacoustic emissions, Clinical Interventions in Aging, 15, 927–935 (2020). DOI:10.2147/CIA.S252837 » Abstract
G. Zimatore, M. Tsuchiya, M. Hashimoto, A. Kasperski, A. Giuliani: Self-organization of whole-gene expression through coordinated chromatin structural transition featured, Biophysics Reviews, 2, 031303 (2021). DOI:10.1063/5.0058511 » Abstract
G. Zimatore, L. Falcioni, M. C. Gallotta, V. Bonavolontà, M. Campanella, M. De, L. Guidetti, C. Baldari: Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds, PLoS ONE, 16(10), e0249504 (2021). DOI:10.1371/journal.pone.0249504 » Abstract
G. Zimatore, M. Cavagnaro, P. Skarzynski, S. Hatzopoulos: Detection of hearing losses (HL) via transient-evoked otoacoustic emissions: towards an automatic classification, Biomedical Physics & Engineering Express, 8(5), 055021 (2022). DOI:10.1088/2057-1976/ac7a5e » Abstract
G. Zimatore, M. C. Gallotta, M. Campanella, P. Skarzynski, G. Maulucci, C. Serantoni, M. De, D. Curzi, L. Guidetti, C. Baldari, S. Hatzopoulos: Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review, International Journal of Environmental Research and Public Health, 19(19), 12719 (2022). DOI:10.3390/ijerph191912719 » Abstract
G. Zimatore, C. Serantoni, M. C. Gallotta, L. Guidetti, G. Maulucci, M. De: Automatic Detection of Aerobic Threshold through Recurrence Quantification Analysis of Heart Rate Time Series, International Journal of Environmental Research and Public Health, 20(3), 1998 (2023). DOI:10.3390/ijerph20031998 » Abstract
G. Zimatore, C. Serantoni, M. C. Gallotta, M. Meucci, L. Mourot, D. Ferrari, C. Baldari, M. De, G. Maulucci, L. Guidetti: Recurrence Quantification Analysis Based Methodology in Automatic Aerobic Threshold Detection: Applicability and Accuracy across Age Groups, Exercise Protocols and Health Conditions, Applied Sciences, 14(20), 9216 (2024). DOI:10.3390/app14209216 » Abstract
A. Zippo, G. Iarriccio, F. Pellicano: Nonlinear time series analysis of Parkinsonian tremor signals, Proceedings of the 19th International Conference on Condition Monitoring and Asset Management (CM 2023), , (2023). DOI:10.1784/cm2023.4d5 https://www.bindt.org/events-and-awards/cm-2023/abstract-4d5/ » Abstract
B. Ambro.zkiewicz, A. Syta, N. Meier, G. Litak, A. Georgiadis: Radial internal clearance analysis in ball bearings, Maintenance and Reliability, 23(1), 42–54 (2021). DOI:10.17531/EIN.2021.1.5 » Abstract
M. Bla.zkiewicz: Evaluation of Geometric Attractor Structure and Recurrence Analysis in Professional Dancers, Entropy, 24(9), 1310 (2022). DOI:10.3390/e24091310 » Abstract
B. Ambro.zkiewicz, A. Syta, A. Gassner, A. Georgiadis, G. Litak, N. Meier: The influence of the radial internal clearance on the dynamic response of self-aligning ball bearings, Mechanical Systems and Signal Processing, 171, 108954 (2022). DOI:10.1016/j.ymssp.2022.108954 » Abstract
M. Bla.zkiewicz, A. Hadamus, R. Borkowski: Recurrence Quantification Analysis as a Form of Postural Control Assessment: A Systematic Review, Applied Sciences, 13(9), 5587 (2023). DOI:10.3390/app13095587 » Abstract
B. Ambro.zkiewicz, G. Litak, A. Georgiadis, A. Syta, N. Meier, A. Gassner: Mathematical Model of Double Row Self-Aligning Ball Bearing, In: Perspectives in Dynamical Systems II – Numerical and Analytical Approaches, 454, Eds.: J. Awrejcewicz, Springer, Cham (Switzerland), 29–39 (2024). DOI:10.1007/978-3-031-56496-3_3 » Abstract
B. Ambro.zkiewicz, P. Dzienis, L. Ambroziak, A. Koszewnik, A. Syta, D. Oldziej, V. Pakrashi: Diagnostics of unmanned aerial vehicle with recurrence based approach of piezo-element voltage signals, Scientific Reports, 14(1), 17211 (2024). DOI:10.1038/s41598-024-68197-x » Abstract
N. V. Zolotova, D. I. Ponyavin: Phase asynchrony of the north-south sunspot activity, Astronomy & Astrophysics, 449(1), L1–L4 (2006). DOI:10.1051/0004-6361:200600013 » Abstract
N. V. Zolotova, D. I. Ponyavin: Detecting latent synchronization, Technical Physics Letters, 32(11), 954–957 (2006). DOI:10.1134/S1063785006110149 » Abstract
N. V. Zolotova, D. I. Ponyavin: Synchronization in Sunspot Indices in the Two Hemispheres, Solar Physics, 243(2), 193–203 (2007). DOI:10.1007/s11207-007-0405-5 » Abstract
N. V. Zolotova, D. I. Ponyavin: North-south asynchrony and long-term variations of sunspot latitudes, Proceedings of the International Astronomical Union, 4(S259), 237–238 (2008). DOI:10.1017/S1743921309030543 » Abstract
N. V. Zolotova, D. I. Ponyavin, N. Marwan, J. Kurths: Long-term asymmetry in the wings of the butterfly diagram, Astronomy & Astrophysics, 505, 197–201 (2009). DOI:10.1051/0004-6361/200811430 » Abstract
N. V. Zolotova, D. I. Ponyavin, R. Arlt, I. Tuominen: Secular variation of hemispheric phase differences in the solar cycle, Astronomische Nachrichten, 331(8), 765–771 (2010). DOI:10.1002/asna.201011410 » Abstract
Y. B. Zong, N. Jin: Multi-scale recurrence plot analysis of inclined oil-water two phase flow structure based on conductance fluctuation signals, European Physical Journal – Special Topics, 164(1), 165–177 (2008). DOI:10.1140/epjst/e2008-00842-4 » Abstract
Y. B. Zong, N. Jin, Z. Y. Wang, Z. Gao, C. Wang: Nonlinear dynamic analysis of large diameter inclined oil–water two phase flow pattern, International Journal of Multiphase Flow, 36(3), 166–183 (2010). DOI:10.1016/j.ijmultiphaseflow.2009.11.006 » Abstract
A. Zorko, M. Fruehwirth, N. Goswami, M. Moser, Z. Levnajic: Heart Rhythm Analyzed via Shapelets Distinguishes Sleep From Awake, Frontiers in Physiology, 10, 1554 (2020). DOI:10.3389/fphys.2019.01554 » Abstract
Y. Zou, M. Thiel, M. C. Romano, J. Kurths, Q. Bi: Shrimp structure and associated dynamics in parametrically excited oscillators, International Journal of Bifurcation and Chaos, 16(12), 3567–3579 (2006). DOI:10.1142/S0218127406016987 » Abstract
Y. Zou, M. Thiel, M. C. Romano, J. Kurths: Characterization of stickiness by means of recurrence, Chaos, 17(4), 043101 (2007). DOI:10.1063/1.2785159 » Abstract
Y. Zou, M. Thiel, M. C. Romano, J. Kurths: Analytical description of recurrence plots of dynamical systems with nontrivial recurrences, International Journal of Bifurcation and Chaos, 17(12), 4273–4283 (2007). DOI:10.1142/S0218127407019949 » Abstract
Y. Zou: Exploring recurrences in quasiperiodic systems, PhD Thesis, (2007). URN:nbn:de:kobv:517-opus-16497 » Abstract
Y. Zou, D. Pazó, M. C. Romano, M. Thiel, J. Kurths: Distinguishing quasiperiodic dynamics from chaos in short-time series, Physical Review E, 76(1), 016210 (2007). DOI:10.1103/PhysRevE.76.016210 » Abstract
Y. Zou, M. Thiel, M. C. Romano, P. L. Read, J. Kurths: Recurrence Analysis of Quasiperiodicity in Experimental Fluid Data, European Physical Journal – Special Topics, 164(1), 23–34 (2008). DOI:10.1140/epjst/e2008-00831-7 » Abstract
Y. Zou, R. V. Donner, J. F. Donges, N. Marwan, J. Kurths: Identifying complex periodic windows in continuous-time dynamical systems using recurrence-based methods, Chaos, 20(4), 043130 (2010). DOI:10.1063/1.3523304 » Abstract
Y. Zou, M. C. Romano, M. Thiel, N. Marwan, J. Kurths: Inferring Indirect Coupling by Means of Recurrences, International Journal of Bifurcation and Chaos, 21(4), 1099–1111 (2011). DOI:10.1142/S0218127411029033 » Abstract
Y. Zou, R. V. Donner, J. Kurths: Geometric and dynamic perspectives on phase-coherent and noncoherent chaos, Chaos, 22(1), 013115 (2012). DOI:10.1063/1.3677367 » Abstract
Y. Zou, R. V. Donner, M. Wickramasinghe, I. Z. Kiss, M. Small, J. Kurths: Phase coherence and attractor geometry of chaotic electrochemical oscillators, Chaos, 22(3) (2012). DOI:10.1063/1.4747707 » Abstract
Y. Zou, J. Heitzig, R. V. Donner, J. F. Donges, J. D. Farmer, R. Meucci, S. Euzzor, N. Marwan, J. Kurths: Power-laws in recurrence networks from dynamical systems, Europhysics Letters, 98, 48001 (2012). DOI:10.1209/0295-5075/98/48001 » Abstract
Y. Zou, M. C. Romano, M. Thiel, J. Kurths: Identifying Coupling Directions by Recurrences, In: Recurrence Quantification Analysis – Theory and Best Practices, Eds.: C. L. Webber, Jr. and N. Marwan, Springer, Cham, 65–99 (2015). DOI:10.1007/978-3-319-07155-8_3 » Abstract
Y. Zou, R. V. Donner, J. Kurths: Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfalls, Physical Review E, 91(2), 022926 (2015). DOI:10.1103/PhysRevE.91.022926 » Abstract
Y. Zou, R. V. Donner, M. Thiel, J. Kurths: Disentangling regular and chaotic motion in the standard map using complex network analysis of recurrences in phase space, Chaos, 26(2), 023120 (2016). DOI:10.1063/1.4942584 » Abstract
Y. Zou, R. V. Donner, N. Marwan, J. F. Donges, J. Kurths: Complex network approaches to nonlinear time series analysis, Physics Reports, 787, 1–97 (2019). DOI:10.1016/j.physrep.2018.10.005 » Abstract
Y. Zou, R. V. Donner, N. Marwan, J. F. Donges, J. Kurths: Nonlinear time series analysis by means of complex networks, Scientia Sinica: Physica, Mechanica & Astronomica, 50(1), 010509 (2020). DOI:10.1360/SSPMA-2019-0136 » Abstract
F. Zou, C. Peng: A novel geographic origin identification method based on multi-segment recurrence plot coding and residual attention mechanism, Spectroscopy Letters, , (in press). DOI:10.1080/00387010.2025.2455475 » Abstract
J. Zubek, K. Ziembowicz, M. Pokropski, P. Gwiazdzinski, M. Denkiewicz, A. Boros: Rhythms of the day: How electronic media and daily routines influence mood during COVID-19 pandemic, Applied Psychology – Health and Well-Being, 14(2), 519–536 (2022). DOI:10.1111/aphw.12317 » Abstract
J. Zubek, E. Nagórska, J. Komorowska-Mach, K. Skowrońska, K. Zieliński, J. Raczaszek-Leonardi: Dynamics of Remote Communication: Movement Coordination in Video-Mediated and Face-to-Face Conversations, Entropy, 24(4), 559 (2022). DOI:10.3390/e24040559 » Abstract
J. Zuo, W. Q. Meeker, H. Wu: Analysis of Window-Observation Recurrence Data, Technometrics, 50(2), 128–143 (2008). DOI:10.1198/004017008000000091 » Abstract
X. Zuo, M. Peng, Y. Zhou: Consistency analysis of worn surface topography and friction force based on phase trajectory and recurrence analysis, Fractals, 27(8), 1950130 (2019). DOI:10.1142/S0218348X19501305 » Abstract
X. Zuo, Y. K. Zhou, C. B. Ma, H. F. Fang: Dynamic identification of wear state based on nonlinear parameters, Fractals, 27(5), 1950075 (2019). DOI:10.1142/S0218348X19500750 » Abstract
W. Zuobin, M. Kezhi, G.-W. Ng: Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis, Proceedings of the 20th International Conference on Information Fusion (Fusion 2017), 8009795 (2017). DOI:10.23919/ICIF.2017.8009795 » Abstract
M. Zurita, W. Hernandez, C. Crepaldi, F. Pereira, Z. O. Guimar aes-Filho: Stochastic modeling of plasma fluctuations with bursts and correlated noise in TCABR, Physics of Plasmas, 29(5), 052303 (2022). DOI:10.1063/5.0081281 » Abstract
G. Zurlini, N. Marwan, T. Semeraro, K. B. Jones, R. Aretano, M. R. Pasimeni, D. Valente, C. Mulder, I. Petrosillo: Investigating landscape phase transitions in Mediterranean rangelands by recurrence analysis, Landscape Ecology, 33(9), 1617–1631 (2018). DOI:10.1007/s10980-018-0693-1 » Abstract
L. Zylka, M. Plodzien, J. Latalski, P. Lajmert, R. Rusinek: Recurrence Quantification Analysis (RQA) of Toroidal End Tool Milling Process, Applied Sciences, 15(3), 1347 (2025). DOI:10.3390/app15031347 » Abstract
I. Zyryanov, M. Kornyakov, K. Nepomnyashchikh, A. Trufanov, V. Khramovskikh, A. Shevchenko: Network platform for automation of pit dump truck failure prediction, Gornaya Promyshlennost, 2024(3), 56–63 (2024). DOI:10.30686/1609-9192-2024-3-56-63 » Abstract

Keywords:

convolutional neural network time series recurrence synchronization complex networks recurrence quantification analysis nonlinear dynamics nonlinear analysis eeg deep learning convolutional neural networks entropy heart rate variability fault diagnosis rqa determinism time series analysis dynamical systems dynamics recurrence analysis complexity recurrence plot machine learning classification feature extraction atrial fibrillation chaos

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Recurrence Plots and Cross Recurrence Plots

A Comprehensive Bibliography about RPs, RQA, and their Applications

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Publications per year (in this database, without related and software)

Top authors and most used journals