Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm
In present study, the nano-material flow of Ree-Eyring fluid model (NF-REFM) is examined
by utilizing the technique of Levenberg Marquardt with backpropagated neural networks …
by utilizing the technique of Levenberg Marquardt with backpropagated neural networks …
[HTML][HTML] Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation …
This study aims to analyze a Bayesian regularization backpropagation algorithm for
micropolar ternary hybrid nanofluid flow over curved surfaces with homogeneous and …
micropolar ternary hybrid nanofluid flow over curved surfaces with homogeneous and …
A comparative performance analysis of ANN algorithms for MPPT energy harvesting in solar PV system
In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …
Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods
Outdoor insulators may experience stress due to severe environmental conditions, such as
pollution and contamination. Through the identification of partial discharges by ultrasonic …
pollution and contamination. Through the identification of partial discharges by ultrasonic …
Artificial neural network scheme to solve the nonlinear influenza disease model
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 …
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
[HTML][HTML] Comparative analysis of unsteady flow of induced MHD radiative Sutterby fluid flow at nonlinear stretching cylinder/sheet: Variable thermal conductivity
Unsteady incompressible Sutterby fluid model is considered. The comparative results of
stretching cylinder and sheet have been studied. The induced magnetic field is considered …
stretching cylinder and sheet have been studied. The induced magnetic field is considered …
Computational intelligence approach for optimising MHD Casson ternary hybrid nanofluid over the shrinking sheet with the effects of radiation
The primary goal of this research is to present a novel computational intelligence approach
of the AI-based Levenberg–Marquardt scheme under the influence of backpropagated …
of the AI-based Levenberg–Marquardt scheme under the influence of backpropagated …
[HTML][HTML] Heuristic computational design of Morlet wavelet for solving the higher order singular nonlinear differential equations
The aim of this study is to present the numerical solutions of the higher order singular
nonlinear differential equations using an advanced intelligent computational approach by …
nonlinear differential equations using an advanced intelligent computational approach by …
[HTML][HTML] A fractional order numerical study for the influenza disease mathematical model
Z Sabir, SB Said, Q Al-Mdallal - Alexandria Engineering Journal, 2023 - Elsevier
The motive of these investigations is to present the numerical performances of the fractional
order mathematical influenza disease model (FO-MIDM) by designing the computational …
order mathematical influenza disease model (FO-MIDM) by designing the computational …
Design of morlet wavelet neural network for solving a class of singular pantograph nonlinear differential models
The aim of this study is to design a layer structure of feed-forward artificial neural networks
using the Morlet wavelet activation function for solving a class of pantograph differential …
using the Morlet wavelet activation function for solving a class of pantograph differential …