In this work, a bibliographic analysis on artificial neural networks (ANNs) using fractional
calculus (FC) theory has been developed to summarize the main features and applications …

Artificial neural network (ANN) is the backbone of machine learning, specifically deep
learning. The interpolating and learning ability of an ANN makes it an ideal tool for …

This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

In this study, a novel application of neurocomputing technique is presented for solving
nonlinear heat transfer and natural convection porous fin problems arising in almost all …

The current study delivers a numerical investigation on the performance of heat transfer and
flow of micropolar fluid in porous Darcy structures with isothermal and isoflux walls …

In this paper, the mathematical model of an inclined longitudinal porous fin of trapezoidal,
rectangular, and dovetail profiles in the presence of convective and radiative environments …

In this paper, a mathematical model for wire coating in the presence of pressure type die
along with the bath of Oldroyd 8-constant fluid is presented. The model is governed by a …

In recent studies, several chaos-based secure communication (CBSC) systems are
developed and are assumed to be effective and promising tools for balancing …

The flow of fluids in multi-phase porous media results due to many interesting natural
phenomena. The counter-current water imbibition phenomena, that occur during oil …

In this paper, a novel soft computing algorithm is designed for the numerical solution of third-
order nonlinear multi-singular Emden-Fowler equation (TONMS-EFE) using the strength of …