Chaotic dynamics in a novel COVID-19 pandemic model described by commensurate and incommensurate fractional-order derivatives

N Debbouche, A Ouannas, IM Batiha, G Grassi - Nonlinear Dynamics, 2021 - Springer
Mathematical models based on fractional-order differential equations have recently gained
interesting insights into epidemiological phenomena, by virtue of their memory effect and …

Is fractional-order chaos theory the new tool to model chaotic pandemics as Covid-19?

M Borah, A Gayan, JS Sharma, YQ Chen, Z Wei… - Nonlinear …, 2022 - Springer
The deadly outbreak of the second wave of Covid-19, especially in worst hit lower-middle-
income countries like India, and the drastic rise of another growing epidemic of …

The fractional-order discrete COVID-19 pandemic model: stability and chaos

A Abbes, A Ouannas, N Shawagfeh, H Jahanshahi - Nonlinear Dynamics, 2023 - Springer
This paper presents and investigates a new fractional discrete COVID-19 model which
involves three variables: the new daily cases, additional severe cases and deaths. Here, we …

Design of multi-wing chaotic systems with higher largest Lyapunov exponent

S Sahoo, BK Roy - Chaos, Solitons & Fractals, 2022 - Elsevier
A multi-wing chaotic attractor with higher value of the largest Lyapunov exponent is more
useful for its practical applications. This paper proposes a new design technique to generate …

A new multi-wing chaotic attractor with unusual variation in the number of wings

S Sahoo, BK Roy - Chaos, Solitons & Fractals, 2022 - Elsevier
A new multi-wing chaotic system with some unusual properties is reported in this paper.
Here, the number of wings and the amplitude of the chaotic attractor depend on (i) …

On the difficulty of learning chaotic dynamics with RNNs

J Mikhaeil, Z Monfared… - Advances in Neural …, 2022 - proceedings.neurips.cc
Recurrent neural networks (RNNs) are wide-spread machine learning tools for modeling
sequential and time series data. They are notoriously hard to train because their loss …

Control and anticontrol of chaos in fractional-order models of Diabetes, HIV, Dengue, Migraine, Parkinson's and Ebola virus diseases

M Borah, D Das, A Gayan, F Fenton, E Cherry - Chaos, Solitons & Fractals, 2021 - Elsevier
This work investigates new fractional-order (FO) models of six chaotic diseases whose
fractional dynamics have not been studied so far in literature. Here, we design and analyse …

[HTML][HTML] Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one …

M Pájaro, NM Fajar, AA Alonso, I Otero-Muras - Chaos, Solitons & Fractals, 2022 - Elsevier
The level of unpredictability of the COVID-19 pandemics poses a challenge to effectively
model its dynamic evolution. In this study we incorporate the inherent stochasticity of the …

Individuals' conceptions of COVID-19 pandemic through metaphor analysis

A Gök, A Kara - Current Psychology, 2022 - Springer
The main purpose of the current study is to investigate the perceptions of individuals' living
in Turkey during the COVID-19 pandemic through metaphor analysis. The current study …

Generalized teacher forcing for learning chaotic dynamics

F Hess, Z Monfared, M Brenner… - arxiv preprint arxiv …, 2023 - arxiv.org
Chaotic dynamical systems (DS) are ubiquitous in nature and society. Often we are
interested in reconstructing such systems from observed time series for prediction or …