A computational stochastic procedure for solving the epidemic breathing transmission system
This work provides numerical simulations of the nonlinear breathing transmission epidemic
system using the proposed stochastic scale conjugate gradient neural networks (SCGGNNs) …
system using the proposed stochastic scale conjugate gradient neural networks (SCGGNNs) …
Hybridization of the swarming and interior point algorithms to solve the Rabinovich–Fabrikant system
Z Sabir, SB Said, Q Al-Mdallal - Scientific reports, 2023 - nature.com
In this study, a trustworthy swarming computing procedure is demonstrated for solving the
nonlinear dynamics of the Rabinovich–Fabrikant system. The nonlinear system's dynamic …
nonlinear dynamics of the Rabinovich–Fabrikant system. The nonlinear system's dynamic …
[HTML][HTML] Task offloading using GPU-based particle swarm optimization for high-performance vehicular edge computing
With mobile edge computing, vehicles can obtain nearby network resources and
computability and meet the growing demand for vehicular service at large scales. However …
computability and meet the growing demand for vehicular service at large scales. However …
A novel radial basis procedure for the SIRC epidemic delay differential model
The purpose of this work is to construct a reliable stochastic framework for solving the SIRC
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
Investigation of fractional diabetes model involving glucose–insulin alliance scheme
The ultimate aim of this study is to develop and analyze a comprehensive regulatory
framework for managing glucose and insulin in blood in the presence of diabetes mellitus …
framework for managing glucose and insulin in blood in the presence of diabetes mellitus …
[HTML][HTML] Mathematical study of fractal-fractional leptospirosis disease in human and rodent populations dynamical transmission
In both industrialized and developing nations, leptospirosis is one of the most
underdiagnosed and under-reported diseases. It is known that people are more likely to …
underdiagnosed and under-reported diseases. It is known that people are more likely to …
A finite difference scheme to solve a fractional order epidemic model of computer virus
In this article, an analytical and numerical analysis of a computer virus epidemic model is
presented. To more thoroughly examine the dynamics of the virus, the classical model is …
presented. To more thoroughly examine the dynamics of the virus, the classical model is …
Neuro-evolutionary computing paradigm for the SIR model based on infection spread and treatment
The intension of the present study is to solve the nonlinear biological susceptible, infected
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative
Y Ye, H Fan, Y Li, X Liu, H Zhang - Neurocomputing, 2022 - Elsevier
Fractional diffusion equations with conformable derivative have become an important
research topic in Newtonian mechanics, quantum mechanics, arbitrary time scale problems …
research topic in Newtonian mechanics, quantum mechanics, arbitrary time scale problems …
An artificial neural network approach for the language learning model
The current study provides the numerical solutions of the language-based model through
the artificial intelligence (AI) procedure based on the scale conjugate gradient neural …
the artificial intelligence (AI) procedure based on the scale conjugate gradient neural …