Results 31 to 40 of about 928 (167)
Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
Heliyon, 2018 This work is concerned with the numerical modeling of susceptible-latent-breakingout-quarantine-susceptible (SLBQRS) computer virus dynamics. The SLBQRS epidemic system is solved with three finite difference methods, one is proposed nonstandard finite ...
Umbreen Fatima +3 more
doaj +1 more source
High order nonstandard finite-difference methods
Applied Mathematics and ComputationNonstandard finite difference (NSFD) methods have been considered to overcome some issues of standard methods, particularly when the numerical solution must preserve important properties of the exact solution. These issues increase for high order methods.
D. Conte, G. Pagano, T. Roldán
openaire +4 more sources
Stochastic Analysis of Nonlinear Cancer Disease Model through Virotherapy and Computational Methods
Mathematics, 2022 Cancer is a common term for many diseases that can affect anybody. A worldwide leading cause of death is cancer, according to the World Health Organization (WHO) report. In 2020, ten million people died from cancer.
Ali Raza +4 more
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Mathematics, 2022 A new mathematical model of Coronavirus (2019-nCov) using piecewise hybrid fractional order derivatives is given in this paper. Moreover, in order to be consistent with the physical model problem, a new parameter μ is presented.
Nasser H. Sweilam +4 more
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Numerical Study for Time Delay Multistrain Tuberculosis Model of Fractional Order
Complexity, 2017 A novel mathematical fractional model of multistrain tuberculosis with time delay memory is presented. The proposed model is governed by a system of fractional delay differential equations, where the fractional derivative is defined in the sense of the ...
Nasser Hassan Sweilam +2 more
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Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Optimal control for a variable-order diffusion-wave equation with a reaction term; A numerical study
Partial Differential Equations in Applied MathematicsIn this paper, optimal control for a variable-order diffusion-wave equation with a reaction term is numerically studied, where the variable-order operator is defined in the sense of Caputo proportional constant.
N.H. Sweilam +3 more
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Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Convergence of a Mimetic Finite Difference Method for Static Diffusion Equation
Advances in Difference Equations, 2007 The numerical solution of partial differential equations with finite differences mimetic methods that satisfy properties of the continuum differential operators and mimic discrete versions of appropriate integral identities is more likely to produce ...
Rojas S +3 more
doaj +2 more sources
Carbon Energy, EarlyView.Beyond the hype surrounding the self‐healing properties of gallium‐based liquid metals (Ga‐LMs), this perspective critically examines their functional roles in metal‐ion batteries, highlighting both their underlying merits and the often‐overlooked challenges, including non‐representative design and testing configurations, performance overestimations ...
Turly P. P. Sumanasekara +7 more
wiley +1 more source