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) …

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 …

A stochastic intelligent computing with neuro-evolution heuristics for nonlinear SITR system of novel COVID-19 dynamics

M Umar, Z Sabir, MAZ Raja, M Shoaib, M Gupta… - Symmetry, 2020 - mdpi.com
The present study aims to design stochastic intelligent computational heuristics for the
numerical treatment of a nonlinear SITR system representing the dynamics of novel …

Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control

TN Cheema, MAZ Raja, I Ahmad, S Naz, H Ilyas… - The European Physical …, 2020 - Springer
The aim of this work is to design an intelligent computing paradigm through Levenberg–
Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona …

Neuro-computing networks for entropy generation under the influence of MHD and thermal radiation

M Shoaib, MAZ Raja, MAR Khan, I Farhat… - Surfaces and …, 2021 - Elsevier
In this research article, artificial neural networks back-propagated with Levenberg Marquardt
scheme (ANN-BLMS) is presented to analyze the entropy generation of carbon nanotubes …

[HTML][HTML] Integrated neuro-swarm heuristic with interior-point for nonlinear SITR model for dynamics of novel COVID-19

M Umar, Z Sabir, MAZ Raja, F Amin, T Saeed… - Alexandria Engineering …, 2021 - Elsevier
The present study is related to present a novel design of intelligent solvers with a neuro-
swarm heuristic integrated with interior-point algorithm (IPA) for the numerical investigations …

[HTML][HTML] A stochastic numerical computing heuristic of SIR nonlinear model based on dengue fever

M Umar, Z Sabir, MAZ Raja, YG Sánchez - Results in Physics, 2020 - Elsevier
The purpose of the current work is to solve the SIR nonlinear model based on dengue fever
using a stochastic numerical computing scheme together with the artificial neural networks …

Design and numerical solutions of a novel third‐order nonlinear Emden–Fowler delay differential model

JLG Guirao, Z Sabir, T Saeed - Mathematical Problems in …, 2020 - Wiley Online Library
In this study, the design of a novel model based on nonlinear third‐order Emden–Fowler
delay differential (EF‐DD) equations is presented along with two types using the sense of …

MHD casson nanofluid in darcy-forchheimer porous medium in the presence of heat source and arrhenious activation energy: applications of neural networks

M Shoaib, S Naz, KS Nisar, MAZ Raja… - … Journal of Modelling …, 2023 - Taylor & Francis
The present study investigates the significance of activation energy during chemical
reactions, thermal radiations and temperature gradient of 3-D steady Magnetohydrodynamic …

[HTML][HTML] Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques

Z Sabir, JLG Guirao, T Saeed - Applied Soft Computing, 2021 - Elsevier
The aim of the present study is to present a new model based on the nonlinear singular
second order delay differential equation of Lane–Emden type and numerically solved by …