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) …

Using a thermally stratified water-based nanofluid and a permeable stretching sheet as a
simulation environment, this research examines the impact of nanoparticle aggregation on …

The present study aims to design stochastic intelligent computational heuristics for the
numerical treatment of a nonlinear SITR system representing the dynamics of novel …

The blood flow with heat transportation has prominent clinical importance during the levels
where the blood flow needs to be checked (surgery) and the heat transportation rate must be …

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 …

The present investigation explores the impact of mass and heat transfer on the magneto-
hydrodynamic (MHD) flow of Casson fluid through porous medium due to shrinking wall …

This current study presents a nonlinear system of the hepatitis B virus infection by using the
strength of artificial neural network (ANN) together with the competences of global and local …

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 …

The present study is related to the effects of activation energy and thermophoretic diffusion
on steady micropolar fluid along with Brownian motion. The activation energy and thermal …

In the present investigation, an integrated numerical computing through neural networks
which are backpropagated with Levenberg-Marquard scheme (NN-BLMS) is designed for …