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Journal Articles

Fractal and fractional SIS model for syphilis data

Enrique C. Gabrick, Elaheh Sayari, Diogo L. M. Souza, Fernando S. Borges, José Trobia, Ervin K. Lenzi, Antonio M. Batista

Chaos 33, 093124 (2023)

https://doi.org/10.1063/5.0153122

Published: September 2023

View article titled, Fractal and fractional SIS model for syphilis data

Journal Articles

A bottom-up approach for recurrence detection based on sampling distance

Rémi Delage, Toshihiko Nakata

Chaos 33, 083142 (2023)

https://doi.org/10.1063/5.0160832

Published: August 2023

View article titled, A bottom-up approach for recurrence detection based on sampling distance

Includes: Supplementary data

Journal Articles

Sign patterns symbolization and its use in improved dependence test for complex network inference

Arthur Matsuo Yamashita Rios de Sousa, Jaroslav Hlinka

Chaos 33, 083131 (2023)

https://doi.org/10.1063/5.0160868

Published: August 2023

View article titled, Sign patterns symbolization and its use in improved dependence test for complex network inference

Journal Articles

Bursting multistability induced by double-Hopf bifurcation

Yibo Xia, Serhiy Yanchuk, Yichuan Cao, Qinsheng Bi, Jürgen Kurths

Chaos 33, 083137 (2023)

https://doi.org/10.1063/5.0157718

Published: August 2023

View article titled, Bursting multistability induced by double-Hopf bifurcation

Journal Articles

A simple modeling framework for prediction in the human glucose–insulin system

Melike Sirlanci, Matthew E. Levine, Cecilia C. Low Wang, David J. Albers, Andrew M. Stuart

Chaos 33, 073150 (2023)

https://doi.org/10.1063/5.0146808

Published: July 2023

View article titled, A simple modeling framework for prediction in the human glucose–insulin system

Journal Articles

Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics

L. N. Wang, M. Li, C. R. Zang

Chaos 33, 063155 (2023)

https://doi.org/10.1063/5.0142001

Published: June 2023

View article titled, Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics

Journal Articles

A data-driven framework for learning hybrid dynamical systems

Yang Li, Shengyuan Xu, Jinqiao Duan, Yong Huang, Xianbin Liu

Chaos 33, 061104 (2023)

https://doi.org/10.1063/5.0157669

Published: June 2023

View article titled, A data-driven framework for learning hybrid dynamical systems

Journal Articles

Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures

Andrey V. Andreev, Semen A. Kurkin, Drozdstoy Stoyanov, Artem A. Badarin, Rossitsa Paunova, Alexander E. Hramov

Chaos 33, 063140 (2023)

https://doi.org/10.1063/5.0155567

Published: June 2023

View article titled, Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures

Journal Articles

The identification of piecewise non-linear dynamical system without understanding the mechanism

Bochen Wang, Liang Wang, Jiahui Peng, Mingyue Hong, Wei Xu

Chaos 33, 063110 (2023)

https://doi.org/10.1063/5.0147847

Published: June 2023

View article titled, The identification of piecewise non-linear dynamical system without understanding the mechanism

Journal Articles

Power spectral estimate for discrete data

Norbert Marwan, Tobias Braun

Chaos 33, 053118 (2023)

https://doi.org/10.1063/5.0143224

Published: May 2023

View article titled, Power spectral estimate for discrete data

Journal Articles

Macro-analysis of climatic factors for COVID-19 pandemic based on Köppen–Geiger climate classification

Fangyuan Chen, Siya Chen, Hua Huang, Yingying Deng, Weizhong Yang

Chaos 33, 053104 (2023)

https://doi.org/10.1063/5.0144099

Published: May 2023

View article titled, Macro-analysis of climatic factors for COVID-19 pandemic based on Köppen–Geiger climate classification

Includes: Supplementary data

Journal Articles

Detecting hidden nodes in networks based on random variable resetting method

Weinuo Jiang, Shihong Wang

Chaos 33, 043109 (2023)

https://doi.org/10.1063/5.0134953

Published: April 2023

View article titled, Detecting hidden nodes in networks based on random variable resetting method

Journal Articles

Ordinal analysis of lexical patterns

David Sánchez, Luciano Zunino, Juan De Gregorio, Raúl Toral, Claudio Mirasso

Chaos 33, 033121 (2023)

https://doi.org/10.1063/5.0139852

Published: March 2023

View article titled, Ordinal analysis of lexical patterns

Journal Articles

Granger causality using Jacobian in neural networks

Suryadi, Lock Yue Chew, Yew-Soon Ong

Chaos 33, 023126 (2023)

https://doi.org/10.1063/5.0106666

Published: February 2023

View article titled, Granger causality using Jacobian in neural networks

Includes: Supplementary data

Journal Articles

Hydrological changes caused by the construction of dams and reservoirs: The CECP analysis

Ikaro Daniel de Carvalho Barreto, Tatijana Stosic, Rômulo Simões Cezar Menezes, Antonio Samuel Alves da Silva, Osvaldo A. Rosso, Borko Stosic

Chaos 33, 023115 (2023)

https://doi.org/10.1063/5.0135352

Published: February 2023

View article titled, Hydrological changes caused by the construction of dams and reservoirs: The CECP analysis

Journal Articles

Estimating predictability of a dynamical system from multiple samples of its evolution

Dmitry Mukhin, Sergey Kravtsov, Aleksei Seleznev, Evgeny Loskutov, Maria Buyanova, Alexander Feigin

Chaos 33, 011103 (2023)

https://doi.org/10.1063/5.0135506

Published: January 2023

View article titled, Estimating predictability of a dynamical system from multiple samples of its evolution

Includes: Supplementary data

Journal Articles

Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea

Okyu Kwon, Hang-Hyun Jo

Chaos 33, 013107 (2023)

https://doi.org/10.1063/5.0130386

Published: January 2023

View article titled, Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea

Journal Articles

Regularized least absolute deviation-based sparse identification of dynamical systems

Feng Jiang, Lin Du, Fan Yang, Zi-Chen Deng

Chaos 33, 013103 (2023)

https://doi.org/10.1063/5.0130526

Published: January 2023

View article titled, Regularized least absolute deviation-based sparse identification of dynamical systems

Journal Articles

Koopman and Perron–Frobenius operators on reproducing kernel Banach spaces

Masahiro Ikeda, Isao Ishikawa, Corbinian Schlosser

Chaos 32, 123143 (2022)

https://doi.org/10.1063/5.0094889

Published: December 2022

View article titled, Koopman and Perron–Frobenius operators on reproducing kernel Banach spaces

Journal Articles

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Lei Zhang, Shaoqiang Tang, Guowei He

Chaos 32, 123134 (2022)

https://doi.org/10.1063/5.0114542

Published: December 2022

View article titled, Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Includes: Supplementary data

NARROW

Topics

Fractal and fractional SIS model for syphilis data

A bottom-up approach for recurrence detection based on sampling distance

Sign patterns symbolization and its use in improved dependence test for complex network inference

Bursting multistability induced by double-Hopf bifurcation

A simple modeling framework for prediction in the human glucose–insulin system

Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics

A data-driven framework for learning hybrid dynamical systems

Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures

The identification of piecewise non-linear dynamical system without understanding the mechanism

Power spectral estimate for discrete data

Macro-analysis of climatic factors for COVID-19 pandemic based on Köppen–Geiger climate classification

Detecting hidden nodes in networks based on random variable resetting method

Ordinal analysis of lexical patterns

Granger causality using Jacobian in neural networks

Hydrological changes caused by the construction of dams and reservoirs: The CECP analysis

Estimating predictability of a dynamical system from multiple samples of its evolution

Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea

Regularized least absolute deviation-based sparse identification of dynamical systems

Koopman and Perron–Frobenius operators on reproducing kernel Banach spaces

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

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