Neuron analysis through the swarming procedures for the singular two-point boundary value problems arising in the theory of thermal explosion
The motive of this work is to provide the neural investigations using the artificial neural
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …
[HTML][HTML] A numerical simulation of the fractional order Leptospirosis model using the supervise neural network
The aim of this work is to present the numerical simulations of the novel designed fractional
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …
order Leptospirosis model (FOLM) by using the strength of stochastic numerical supervised …
Heuristic computing with sequential quadratic programming for solving a nonlinear hepatitis B virus model
This current study presents a nonlinear system of the hepatitis B virus infection by using the
strength of artificial neural network (ANN) together with the competences of global and local …
strength of artificial neural network (ANN) together with the competences of global and local …
[HTML][HTML] A fractional order numerical study for the influenza disease mathematical model
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 …
A stochastic computing procedure to solve the dynamics of prevention in HIV system
The motive of this work is to find the numerical simulations of a dynamical HIV model along
with the effects of prevention, ie, HIPV nonlinear mathematical system. An advance …
with the effects of prevention, ie, HIPV nonlinear mathematical system. An advance …
[HTML][HTML] A novel radial basis Bayesian regularization deep neural network for the Maxwell nanofluid applied on the Buongiorno model
The aim of this work is to provide the numerical solutions of the fluid model by using the
stochastic computing paradigms. The linear/exponential stretching sheets on magneto …
stochastic computing paradigms. The linear/exponential stretching sheets on magneto …
Hybridization of the swarming and interior point algorithms to solve the Rabinovich–Fabrikant system
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 …
Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ
The purpose of this research work is to present a numerical study through artificial neural
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
Neuron analysis of the two-point singular boundary value problems arising in the thermal explosion's theory
The purpose of the present study is to present the neuron analysis using the unsupervised
artificial neural networks (US-ANNs) for solving a class of two-point nonlinear singular …
artificial neural networks (US-ANNs) for solving a class of two-point nonlinear singular …
[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 …