Chaotic dynamics in a novel COVID-19 pandemic model described by commensurate and incommensurate fractional-order derivatives
Mathematical models based on fractional-order differential equations have recently gained
interesting insights into epidemiological phenomena, by virtue of their memory effect and …
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?
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 …
income countries like India, and the drastic rise of another growing epidemic of …
The fractional-order discrete COVID-19 pandemic model: stability and chaos
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 …
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
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 …
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
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) …
Here, the number of wings and the amplitude of the chaotic attractor depend on (i) …
On the difficulty of learning chaotic dynamics with RNNs
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 …
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
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 …
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 …
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 …
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 …
in Turkey during the COVID-19 pandemic through metaphor analysis. The current study …
Generalized teacher forcing for learning chaotic dynamics
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 …
interested in reconstructing such systems from observed time series for prediction or …