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Detection of coupling delay: A problem not yet solved
Názov Detection of coupling delay: A problem not yet solved Autor Coufal D. Spoluautori Jakubík Jozef 1989 SAVMER - Ústav merania SAV SCOPUS RID Jajcay N. Hlinka J. Krakovská Anna 1963 SAVMER - Ústav merania SAV SCOPUS RID ORCID Paluš M. Zdroj.dok. Chaos. Vol. 27, no. 8 (2017), p. 083109 Jazyk dok. eng - angličtina Druh dok. rozpis článkov z periodík (rbx) Ohlasy HANNISDAL, Bjarte - LIOW, Lee Hsiang. Causality from palaeontological time series. In PALAEONTOLOGY. ISSN 0031-0239, 2018, vol. 61, no. 4, pp. 495-509. ROY, Subhradeep - JANTZEN, Benjamin. Detecting causality using symmetry transformations. In CHAOS. ISSN 1054-1500, 2018, vol. 28, no. 7, pp. AMIGO, Jose M. - HIRATA, Yoshito. Detecting directional couplings from multivariate flows by the joint distance distribution. In CHAOS. ISSN 1054-1500, 2018, vol. 28, no. 7. HAAGA, Kristian Agasoster - BRENDRYEN, Jo - DIEGO, David - HANNISDAL, Bjarte. Forcing of late Pleistocene ice volume by spatially variable summer energy. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2018, vol. 8. ROSINBERG, M. L. - TARJUS, G. - MUNAKATA, T. Influence of time delay on information exchanges between coupled linear stochastic systems. In PHYSICAL REVIEW E. ISSN 2470-0045, 2018, vol. 98, no. 3. PUKENAS, Kazimieras. An algorithm based on the convergent cross mapping method for the detection of causality in uni-directionally connected chaotic systems. In MATHEMATICAL MODELS IN ENGINEERING. ISSN 2351-5279, 2018, vol. 4, no. 3, pp. 145-150. CRACIUNESCU, Teddy - MURARI, Andrea - GELFUSA, Michela. Causality Detection Methods Applied to the Investigation of Malaria Epidemics. In ENTROPY, 2019, vol. 21, no. 8. PUKENAS, Kazimieras. Inferring causality from highly noisy uni-directionally coupled chaotic oscillators with small frequency mismatch. In JOURNAL OF MEASUREMENTS IN ENGINEERING. ISSN 2335-2124, 2019, vol. 7, no. 2, pp. 67-73. RUAN, Yijing - DONNER, Reik V. - GUAN, Shuguang - ZOU, Yong. Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series. In CHAOS. ISSN 1054-1500, 2019, vol. 29, no. 4. HUANG, Y. - FU, Z.T. - FRANZKE, C.L.E. Detecting causality from time series in a machine learning framework. In CHAOS. ISSN 1054-1500, JUN 2020, vol. 30, no. 6. HUANG, Y. - FRANZKE, C.L.E. - YUAN, N.M. - FU, Z.T. Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling. In CLIMATE DYNAMICS. ISSN 0930-7575, NOV 2020, vol. 55, no. 9-10, p. 2469-2481. LEHNERTZ, K. - BROHL, T. - RINGS, T. The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, DEC 21 2020, vol. 11. PELUSO, E. - CRACIUNESCU, T. - MURARI, A. A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations. In ENTROPY. AUG 2020, vol. 22, no. 8. CRACIUNESCU, T. - MURARI, A. - LERCHE, E. - GELFUSA, M. Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics. In ENTROPY. JUL 2020, vol. 22, no. 7. PUKENAS, K. An efficient algorithm for inferring functional connectivity between the drive and the noisy response chaotic oscillators with significant frequency mismatch. In PRAMANA JOURNAL OF PHYSICS. ISSN 0304-4289, 2020, vol. 94, no. 1. ZALMIJN, E. – HESKES, T. – CLAASSEN, T. Spectral Ranking of Causal Influence in Complex Systems. In ENTROPY. ISSN 1099-4300, 2021, vol. 23, no. 3, p. 369. Dostupné na: https://doi.org/10.3390/e23030369. BERMPERIDIS, T. - RAI, R. - RYU, J. - ZANOTTO, D. - AGRAWAL, S.K. - LALWANI, A.K. - TORRES, E.B. Optimal time lags from causal prediction model help stratify and forecast nervous system pathology. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2021, vol. 11, no. 1. Dostupné na: https://doi.org/10.1038/s41598-021-00156-2. SILINI, R. - TIRABASSI, G. - BARREIRO, M. - FERRANTI, L. - MASOLLER, C. Assessing causal dependencies in climatic indices. In CLIMATE DYNAMICS, 2022. ISSN 0930-7575. Dostupné na: https://doi.org/10.1007/s00382-022-06562-0. SURYADI, Y.-S.O. – LOCK, Y.C. Jacobian granger causal neural networks for analysis of stationary and nonstationary data. In arXiv, 2022, https://doi.org/10.48550/arXiv.2205.09573. PUKENAS, K. A Bispectrum based Algorithm for Inferring Directional Coupling in Uni-Directionally Connected Chaotic Oscillators with Significant Frequency Mismatch. In JOURNAL OF APPLIED NONLINEAR DYNAMICS. ISSN 2164-6457, MAR 2023, vol. 12, no. 1, p. 31-37. Dostupné na: https://doi.org/10.5890/JAND.2023.03.002. ZHOU, Q.J. - LI, L. - CHAN, P.W. - CHENG, X.L. - YANG, H.L. - LAN, C.X. - SU, J.C. Vertical Coupling of Gusts in the Lower Boundary Layer During Super Typhoons and Squall Lines. In JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. ISSN 2169-897X, APR 27 2023, vol. 128, no. 8. Dostupné na: https://doi.org/10.1029/2022JD038058. CAO, Z. – QU, H. Review on Causality Detection Based on Empirical Dynamic Modeling. In arXiv, 2023, https://doi.org/10.48550/arXiv.2312.15919. Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2017 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.1063/1.4997757 
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Názov súboru Prístup Veľkosť Stiahnuté Typ Licence Detection of coupling delay A problem not yet solved.pdf Prístupný 1.8 MB 4 Vydavateľská verzia rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2017 2016 2.283 Q1 0.780 Q2
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