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 …
Numerical computing to solve the nonlinear corneal system of eye surgery using the capability of Morlet wavelet artificial neural networks
In this study, a novel heuristic computing technique is presented to solve bioinformatics
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …
A novel design of inverse multiquadric radial basis neural networks to analyze MHD nanofluid boundary layer flow past a wedge embedded in a porous medium …
The current study explores a new direction of research in which the magnetohydrodynamic
(MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of …
(MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of …
[HTML][HTML] Heat transfer impacts on Maxwell nanofluid flow over a vertical moving surface with MHD using stochastic numerical technique via artificial neural networks
The technique of Levenberg–Marquardt back propagation with neural networks (TLMB-NN)
was used in this research article to investigate the heat transfer of Maxwell base fluid flow of …
was used in this research article to investigate the heat transfer of Maxwell base fluid flow of …
Intelligent solution predictive networks for non-linear tumor-immune delayed model
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model
illustrating the interaction among tumor cells and the immune system (cytotoxic T …
illustrating the interaction among tumor cells and the immune system (cytotoxic T …
[HTML][HTML] Numerical treatment on the new fractional-order SIDARTHE COVID-19 pandemic differential model via neural networks
In this study, modeling the COVID-19 pandemic via a novel fractional-order SIDARTHE (FO-
SIDARTHE) differential system is presented. The purpose of this research seemed to be to …
SIDARTHE) differential system is presented. The purpose of this research seemed to be to …
An industrial virus propagation model based on SCADA system
Supervisory control and data acquisition (SCADA) systems are widely used in the national
infrastructure. As more and more SCADA systems have been connected to the Internet …
infrastructure. As more and more SCADA systems have been connected to the Internet …
A computational framework to solve the nonlinear dengue fever SIR system
This study is relevant to present the numerical form of the nonlinear dengue fever SIR
system are presented using the artificial neural networks along with the Levenberg …
system are presented using the artificial neural networks along with the Levenberg …
Design of fractional-order hammerstein control auto-regressive model for heat exchanger system identification: Treatise on fuzzy-evolutionary computing
Parameter estimation of nonlinear dynamical Hammerstein processes is a renowned stiff
optimization problem with extensive applications in the design, robustness and stability …
optimization problem with extensive applications in the design, robustness and stability …
[HTML][HTML] A novel design of stochastic approximation treatment of longitudinal rectangular fin dynamical model
I Ahmad, H Qureshi, MAZ Raja, SI Hussain… - Case Studies in Thermal …, 2024 - Elsevier
The current research work focuses on the thermal effectiveness and distribution of an
internal heat-generating longitudinal rectangular fin that is dependent on temperature …
internal heat-generating longitudinal rectangular fin that is dependent on temperature …