On fractal-fractional waterborne disease model: A study on theoretical and numerical aspects of solutions via simulations
Waterborne diseases are illnesses caused by pathogenic bacteria that spread through water
and have a negative influence on human health. Due to the involvement of most countries in …
and have a negative influence on human health. Due to the involvement of most countries in …
Sampled-data controller scheme for multi-agent systems and its Application to circuit network
The objective of this study is to investigate the synchronization criteria under the sampled-
data control method for multi-agent systems (MASs) with state quantization and time-varying …
data control method for multi-agent systems (MASs) with state quantization and time-varying …
[HTML][HTML] A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis
Alzheimer's Disease (AD) is a neurodegenerative disease that commonly occurs in older
people. It is characterized by both cognitive and functional impairment. However, as AD has …
people. It is characterized by both cognitive and functional impairment. However, as AD has …
[HTML][HTML] A bio inspired learning scheme for the fractional order kidney function model with neural networks
The numerical procedures of the fractional order kidney function model (FO-KFM) are
presented in this study. These derivatives are implemented to get the precise and accurate …
presented in this study. These derivatives are implemented to get the precise and accurate …
A study on the fractal-fractional tobacco smoking model
In this article, we consider a fractal-fractional tobacco mathematical model with generalized
kernels of Mittag-Leffler functions for qualitative and numerical studies. From qualitative …
kernels of Mittag-Leffler functions for qualitative and numerical studies. From qualitative …
Non-fragile sampled-data control for synchronization of chaotic fractional-order delayed neural networks via LMI approach
This study addresses the master and slave synchronization problem of chaotic fractional-
order delayed neural networks using a non-fragile sampled-data control (NFSDC) scheme …
order delayed neural networks using a non-fragile sampled-data control (NFSDC) scheme …
New results for dynamical analysis of fractional-order gene regulatory networks with time delay and uncertain parameters
In this paper, a novel class of networks named fractional-order gene regulatory networks
with time delay and uncertain parameters (FGRNTDUP) are formulated, and some new …
with time delay and uncertain parameters (FGRNTDUP) are formulated, and some new …
[HTML][HTML] A theoretical and numerical analysis of a fractal–fractional two-strain model of meningitis
Meningitis is an inflammation of the membranes that surround and protect the brain and
spinal cord. Typically, the enlargement is caused by a bacterial or viral infection of the fluid …
spinal cord. Typically, the enlargement is caused by a bacterial or viral infection of the fluid …
[PDF][PDF] A new fractal-fractional hybrid model for studying climate change on coastal ecosystems from the mathematical point of view
Rapid emissions of green-house gases (GHGs) are causing global warming, which is
wreaking havoc on the earth's climate system. As a result, the coastal ecosystems of the …
wreaking havoc on the earth's climate system. As a result, the coastal ecosystems of the …
Novel method to detect Hopf bifurcation in a delayed fractional-order network model with bidirectional ring structure
In this paper, we formulate and study a fractional-order network model with four neurons,
bidirectional ring structure and self-delay feedback. For the scenario of non-identical …
bidirectional ring structure and self-delay feedback. For the scenario of non-identical …