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 study, a new computing model is developed using the strength of feed‐forward neural
networks with the Levenberg–Marquardt scheme‐based backpropagation technique (NN …

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 …

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 …

In this study, bio-inspired computational techniques have been exploited to get the
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …

In this study, a new computing paradigm is presented for evaluation of dynamics of
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …

In the investigations presented here, an efficient computing approach is applied to solve
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …

In this paper, novel computing paradigm by exploiting the strength of feed-forward artificial
neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …

Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …

The aim of the present study is to solve the singular second-order functional differential
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …