The current study explores a new direction of research in which the magnetohydrodynamic
(MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of …

In this paper, stochastic predictive computing networks are exploited to investigate the
dynamics of the SIS with vaccination impact based epidemic model (SISV-EM) represented …

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 …

The technique of Levenberg–Marquardt back propagation with neural networks (TLMB-NN)
was used in this research article to investigate the heat transfer of Maxwell base fluid flow of …

The current investigative exploration exemplifies the conceptualization of a novel design
intelligent computing paradigm based on artificial neural networks (ANNs) by utilizing radial …

In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model
illustrating the interaction among tumor cells and the immune system (cytotoxic T …

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 …

The current research work focuses on the thermal effectiveness and distribution of an
internal heat-generating longitudinal rectangular fin that is dependent on temperature …

Oncolytic viral immunotherapy is gaining considerable prominence in the realm of chronic
diseases treatment and rehabilitation. Oncolytic viral therapy is an intriguing therapeutic …

This paper shows the outcomes of computer virus propagation (CVP) model, represented
with susceptible, exposed, infected, quarantine and recovered computers (SEIRQ), classes …