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) …
[HTML][HTML] A numerical simulation of the fractional order Leptospirosis model using the supervise neural network
The aim of this work is to present the numerical simulations of the novel designed fractional
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …
[HTML][HTML] A reliable stochastic computational procedure to solve the mathematical robotic model
The current work presents the numerical solutions of the robotic system in the process of
coronavirus. The stochastic performances using the modeling of Gudermannian neural …
coronavirus. The stochastic performances using the modeling of Gudermannian neural …
[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 …
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 …
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 …
Hybridization of the swarming and interior point algorithms to solve the Rabinovich–Fabrikant system
Z Sabir, SB Said, Q Al-Mdallal - Scientific reports, 2023 - nature.com
In this study, a trustworthy swarming computing procedure is demonstrated for solving the
nonlinear dynamics of the Rabinovich–Fabrikant system. The nonlinear system's dynamic …
nonlinear dynamics of the Rabinovich–Fabrikant system. The nonlinear system's dynamic …
MHD Williamson nanofluid flow in the rheology of thermal radiation, Joule heating, and chemical reaction using the Levenberg–Marquardt neural network algorithm
Various studies have been conducted on the topic of predicting the thermal conductivity of
nanofluids. Here, the thermal conductivity of nanofluids is determined using artificial neural …
nanofluids. Here, the thermal conductivity of nanofluids is determined using artificial neural …
Utilizing memory effects to enhance resilience in disease-driven prey-predator systems under the influence of global warming
This research paper presents an eco-epidemiological model that investigates the intricate
dynamics of a predator–prey system, considering the impact of fear-induced stress, hunting …
dynamics of a predator–prey system, considering the impact of fear-induced stress, hunting …
A novel radial basis procedure for the SIRC epidemic delay differential model
The purpose of this work is to construct a reliable stochastic framework for solving the SIRC
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …