With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …

In this paper, the design of stochastic computational intelligent solver is presented for the
solution of mathematical model representing the dynamics of mosquito dispersal in a …

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 intension of the present work is to present the stochastic numerical approach for solving
human immunodeficiency virus (HIV) infection model of cluster of differentiation 4 of T-cells …

In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

In the present study, a novel fractional Meyer neuro-evolution-based intelligent computing
solver (FMNEICS) is presented for numerical treatment of doubly singular multi-fractional …

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 study, a novel neuro-swarming computing solver is developed for numerical treatment
of third-order nonlinear multi-singular Emden–Fowler equation (TONMS-EFE) by using …

The present study presents numerical solution of the fourth order, singular, nonlinear Emden–
Fowler equation integrated computational intelligence by exploiting the efficiency of …

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 …