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Journal Articles

A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling

Xiao-Kai An, Lin Du, Feng Jiang, Yu-Jia Zhang, Zi-Chen Deng, Jürgen Kurths

Chaos 34, 073118 (2024)

https://doi.org/10.1063/5.0209779

Published: July 2024

View article titled, A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling

Journal Articles

Nonlinear hydrological time series modeling to forecast river level dynamics in the Rio Negro Uruguay basin

Johan S. Duque, Rafael Santos, Johny Arteaga, Ricardo S. Oyarzabal, Leonardo B. L. Santos

Chaos 34, 053132 (2024)

https://doi.org/10.1063/5.0201784

Published: May 2024

View article titled, Nonlinear hydrological time series modeling to forecast river level dynamics in the Rio Negro Uruguay basin

Journal Articles

Predict the prevalence and incidence of Parkinson’s disease using fractal interpolation-LSTM model

Zhong Dai, Shutang Liu, Changan Liu

Chaos 34, 053105 (2024)

https://doi.org/10.1063/5.0174824

Published: May 2024

View article titled, Predict the prevalence and incidence of Parkinson’s disease using fractal interpolation-LSTM model

Journal Articles

An ensemble multi-scale framework for long-term forecasting of air quality

Shan Jiang, Zu-Guo Yu, Vo V. Anh, Taesam Lee, Yu Zhou

Chaos 34, 013110 (2024)

https://doi.org/10.1063/5.0172382

Published: January 2024

View article titled, An ensemble multi-scale framework for long-term forecasting of air quality

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

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

Greenhouse gas emissions: A rapid submerge of the world

A. Gowrisankar, T. M. C. Priyanka, Asit Saha, Lamberto Rondoni, Md. Kamrul Hassan, Santo Banerjee

Chaos 32, 061104 (2022)

https://doi.org/10.1063/5.0091843

Published: June 2022

View article titled, Greenhouse gas emissions: A rapid submerge of the world

Journal Articles

High precision reconstruction of silicon photonics chaos with stacked CNN-LSTM neural networks

Wei Cheng, Junbo Feng, Yan Wang, Zheng Peng, Hao Cheng, Xiaodong Ren, Yubei Shuai, Shengyin Zang, Hao Liu, Xun Pu, Junbo Yang, Jiagui Wu

Chaos 32, 053112 (2022)

https://doi.org/10.1063/5.0082993

Published: May 2022

View article titled, High precision reconstruction of silicon photonics chaos with stacked CNN-LSTM neural networks

Includes: Supplementary data

Journal Articles

The starting dates of COVID-19 multiple waves

Paulo Roberto de Lima Gianfelice, Ricardo Sovek Oyarzabal, Americo Cunha, Jr., Jose Mario Vicensi Grzybowski, Fernando da Conceição Batista, Elbert E. N. Macau

Chaos 32, 031101 (2022)

https://doi.org/10.1063/5.0079904

Published: March 2022

View article titled, The starting dates of COVID-19 multiple waves

Includes: Supplementary data

Journal Articles

Scientometric analysis of the Chaos journal (1991–2019): From descriptive statistics to complex networks viewpoints

Stéphanie Depickère, Jürgen Kurths, Gonzalo Marcelo Ramírez-Ávila

Chaos 31, 043105 (2021)

https://doi.org/10.1063/5.0044719

Published: April 2021

View article titled, Scientometric analysis of the <em>Chaos</em> journal (1991–2019): From descriptive statistics to complex networks viewpoints

Includes: Supplementary data

Journal Articles

Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods

Rashad A. R. Bantan, Aqib Ali, Samreen Naeem, Farrukh Jamal, Mohammed Elgarhy, Christophe Chesneau

Chaos 30, 113142 (2020)

https://doi.org/10.1063/5.0024017

Published: November 2020

View article titled, Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods

Journal Articles

Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods

Pavan Kumar Yeditha, Venkatesh Kasi, Maheswaran Rathinasamy, Ankit Agarwal

Chaos 30, 063115 (2020)

https://doi.org/10.1063/5.0008195

Published: June 2020

View article titled, Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods

Includes: Supplementary data

Journal Articles

Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

Alexander Wikner, Jaideep Pathak, Brian Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott

Chaos 30, 053111 (2020)

https://doi.org/10.1063/5.0005541

Published: May 2020

View article titled, Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

Journal Articles

Long-range dependence, multi-fractality and volume-return causality of Ether market

Qing Han, Jiajing Wu, Zibin Zheng

Chaos 30, 011101 (2020)

https://doi.org/10.1063/1.5135739

Published: January 2020

View article titled, Long-range dependence, multi-fractality and volume-return causality of Ether market

Journal Articles

Bridging between load-flow and Kuramoto-like power grid models: A flexible approach to integrating electrical storage units

Katrin Schmietendorf, O. Kamps, M. Wolff, P. G. Lind, P. Maass, J. Peinke

Chaos 29, 103151 (2019)

https://doi.org/10.1063/1.5099241

Published: October 2019

View article titled, Bridging between load-flow and Kuramoto-like power grid models: A flexible approach to integrating electrical storage units

Journal Articles

Signature identification by Minkowski dimension

Semyon S. Rudyi, Tatiana A. Vovk, Yuri V. Rozhdestvensky

Chaos 29, 053110 (2019)

https://doi.org/10.1063/1.5092270

Published: May 2019

View article titled, Signature identification by Minkowski dimension

Journal Articles

Research on complex dynamic behavior control of supply chain finance nonlinear system based on fractional differential operators

Shenyan Yang, Wen Shi, Xiangjun Chen, Kaijun Leng, Inneke Van Nieuwenhuyse

Chaos 29, 013134 (2019)

https://doi.org/10.1063/1.5085316

Published: January 2019

View article titled, Research on complex dynamic behavior control of supply chain finance nonlinear system based on fractional differential operators

Journal Articles

A fractal-based approach for modeling stock price variations

Massimiliano Frezza

Chaos 28, 091102 (2018)

https://doi.org/10.1063/1.5050867

Published: September 2018

View article titled, A fractal-based approach for modeling stock price variations

Journal Articles

Nonlinearity in stock networks

David Hartman, Jaroslav Hlinka

Chaos 28, 083127 (2018)

https://doi.org/10.1063/1.5023309

Published: August 2018

View article titled, Nonlinearity in stock networks

Includes: Supplementary data

Journal Articles

Phase walk analysis of leptokurtic time series

Korbinian Schreiber, Heike I. Modest, Christoph Räth

Chaos 28, 063120 (2018)

https://doi.org/10.1063/1.5018301

Published: June 2018

View article titled, Phase walk analysis of leptokurtic time series

NARROW

Topics

A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling

Nonlinear hydrological time series modeling to forecast river level dynamics in the Rio Negro Uruguay basin

Predict the prevalence and incidence of Parkinson’s disease using fractal interpolation-LSTM model

An ensemble multi-scale framework for long-term forecasting of air quality

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

Regularized least absolute deviation-based sparse identification of dynamical systems

Greenhouse gas emissions: A rapid submerge of the world

High precision reconstruction of silicon photonics chaos with stacked CNN-LSTM neural networks

The starting dates of COVID-19 multiple waves

Scientometric analysis of the Chaos journal (1991–2019): From descriptive statistics to complex networks viewpoints

Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods

Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods

Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

Long-range dependence, multi-fractality and volume-return causality of Ether market

Bridging between load-flow and Kuramoto-like power grid models: A flexible approach to integrating electrical storage units

Signature identification by Minkowski dimension

Research on complex dynamic behavior control of supply chain finance nonlinear system based on fractional differential operators

A fractal-based approach for modeling stock price variations

Nonlinearity in stock networks

Phase walk analysis of leptokurtic time series

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