In this present investigative mode of study, a biological innovational approach is adopted in
the form of an intelligent computing paradigm to investigate the properties of flow in the case …

The current study presents a novel application of integrated intelligent computing solver for
numerical treatment of second‐order prediction differential models by exploiting the …

The goal of this research is to design the Gudermannian neural networks (GNNs) to solve a
type of two-point nonlinear singular boundary value problems (TPN-SBVPs) that arise within …

The current work is related to present the solutions of the corneal shape-based eye surgery
model (CSESM) by applying the novel procedures of Gudermannian neural network (GNN) …

This article introduces a novel method using Hermite wavelets and Green's function to solve
Thomas-Fermi-type equations with specific boundary conditions. The equation is first …

The purpose of this paper is to introduce a new method based on the deep neural network
method (DNN) for finding numerical solution of a novel class of stochastic biological …

Based on nonlinear memory feedback, the robust admissibility problem of a class of singular
nonlinear time-delay systems was investigated. First, an equivalent structural model of the …

The current study aims to present a swarm-optimized technique for the numerical treatment
of dengue fever non-linear model. The model is composed of the coupled nonlinear system …

The current study is to design a novel intelligent computing optimization scheme for solving
a class of second kind of three-point singular boundary value problems (TPS-BVPs) by …