Neuron analysis through the swarming procedures for the singular two-point boundary value problems arising in the theory of thermal explosion
Z Sabir - The European Physical Journal Plus, 2022 - epjplus.epj.org
The motive of this work is to provide the neural investigations using the artificial neural
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …
Stochastic numerical investigations for nonlinear three-species food chain system
Z Sabir - International Journal of Biomathematics, 2022 - World Scientific
In this work, three-dimensional nonlinear food chain system is numerically treated using the
computational heuristic framework of artificial neural networks (ANNs) together with the …
computational heuristic framework of artificial neural networks (ANNs) together with the …
Artificial neural network scheme to solve the nonlinear influenza disease model
The aim of this study is to present the numerical simulations of the influenza disease
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
An efficient stochastic numerical computing framework for the nonlinear higher order singular models
The focus of the present study is to present a stochastic numerical computing framework
based on Gudermannian neural networks (GNNs) together with the global and local search …
based on Gudermannian neural networks (GNNs) together with the global and local search …
Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
The aim of this study is to design a singular fractional order pantograph differential model by
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
[HTML][HTML] A fractional order numerical study for the influenza disease mathematical model
Z Sabir, SB Said, Q Al-Mdallal - Alexandria Engineering Journal, 2023 - Elsevier
The motive of these investigations is to present the numerical performances of the fractional
order mathematical influenza disease model (FO-MIDM) by designing the computational …
order mathematical influenza disease model (FO-MIDM) by designing the computational …
Numerical computing to solve the nonlinear corneal system of eye surgery using the capability of Morlet wavelet artificial neural networks
In this study, a novel heuristic computing technique is presented to solve bioinformatics
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …
A stochastic computing procedure to solve the dynamics of prevention in HIV system
The motive of this work is to find the numerical simulations of a dynamical HIV model along
with the effects of prevention, ie, HIPV nonlinear mathematical system. An advance …
with the effects of prevention, ie, HIPV nonlinear mathematical system. An advance …
Algorithms for decision-making process using complex Pythagorean fuzzy set and its application to hospital siting for COVID-19 patients
Since the start of COVID-19, a fair amount of work has been undertaken by scholars around
the world to model its progression. It became clear from the start of pandemic that its …
the world to model its progression. It became clear from the start of pandemic that its …
Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ
The purpose of this research work is to present a numerical study through artificial neural
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …