Background: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend …
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 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 …
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 …
In this paper, novel computing paradigm by exploiting the strength of feed-forward artificial neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …
The present study presents numerical solution of the fourth order, singular, nonlinear Emden– Fowler equation integrated computational intelligence by exploiting the efficiency of …
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 …
M Umar, Z Sabir, MAZ Raja, HM Baskonus, SW Yao… - Results in Physics, 2021 - Elsevier
The aim of this study is to provide the numerical outcomes of a nonlinear HIV infection system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
Z Sabir, T Botmart, MAZ Raja, R Sadat, MR Ali… - … Signal Processing and …, 2022 - Elsevier
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 …