Journal ArticleDOI
Neuron analysis through the swarming procedures for the singular two-point boundary value problems arising in the theory of thermal explosion
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This article is published in European Physical Journal Plus.The article was published on 2022-05-01. It has received 35 citations till now. The article focuses on the topics: Artificial neural network & Particle swarm optimization.read more
Citations
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A stochastic computational scheme for the computer epidemic virus with delay effects
Wajaree Weera,Thongchai Botmart,Teerapong La-inchua,Zulqurnain Sabir,Rafael Núñez,Marwan Abukhaled,Juan Luis García Guirao +6 more
TL;DR: The constancy, authentication, precision, and capability of the LMBP-NNs scheme are perceived with the analysis of the state transition measures, regression actions, correlation performances, error histograms, and mean square error measures.
Journal ArticleDOI
Task offloading using GPU-based particle swarm optimization for high-performance vehicular edge computing
TL;DR: In this article , the authors proposed a smart metaheuristic optimization model to address the problem of low service quality due to vehicle movements and limited edge coverage, and the proposed model is used to characterize the overall latency of vehicle task offloading by considering resource utilization, workload at edge servers and vehicle movement characteristics.
Journal ArticleDOI
Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ
Zulqurnain Sabir,Muhammad Asif Zahoor Raja,Sharifah E. Alhazmi,Manoj Gupta,Adnène Arbi,Isa Abdullahi Baba +5 more
TL;DR: In this article , the authors presented a numerical study through artificial neural networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of lockdown.
Journal ArticleDOI
A numerical performance of the novel fractional water pollution model through the Levenberg-Marquardt backpropagation method
TL;DR: In this article , the importance and significance of the fractional order derivatives for solving the nonlinear water pollution model (FWP) model is provided to get more precise results through the non-integer and nonlinear mathematical form.
Journal ArticleDOI
Design of a Computational Heuristic to Solve the Nonlinear Li閚ard Differential Model
TL;DR: In this article , a computational heuristic based on the nonlinear Liénard model is presented using the efficiency of artificial neural networks (ANNs) along with the hybridization procedures of global and local search approaches.
References
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Journal ArticleDOI
Notes on the homotopy analysis method: Some definitions and theorems
TL;DR: In this article, the basic ideas and current developments of the homotopy analysis method, an analytic approach to get convergent series solutions of strongly nonlinear problems, which recently attracts interests of more and more researchers, are described.
Journal ArticleDOI
Application of Variational Iteration Method to Nonlinear Differential Equations of Fractional Order
Ζ.Μ. Odibat,Shaher Momani +1 more
TL;DR: In this article, the variational iteration method is implemented to give approximate solutions for nonlinear differential equations of fractional order, where the problems are initially approximated by imposing the initial conditions and then a correction functional for the fractional differential equation is well constructed by a general Lagrange multiplier, which can be identified optimally via variational theory.
Journal ArticleDOI
A Nonlinear Singular Boundary Value Problem in the Theory of Pseudoplastic Fluids
A. Nachman,A. Callegari +1 more
TL;DR: In this article, boundary layer equations for the class of non-Newtonian fluids termed pseudoplastic are examined under the classical conditions of uniform flow past a semi-infinite flat plate.
Journal ArticleDOI
A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding
TL;DR: A novel optimal multilevel thresholding algorithm for histogram-based image segmentation is presented and an improved variant of PSO, a relatively recently introduced stochastic optimization strategy, is presented.
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