Results 51 to 60 of about 252,020 (241)
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
Total variation diminishing nonstandard finite difference schemes for conservation laws [PDF]
, 2009 Nonstandard finite difference schemes for conservation laws preserving the property of diminishing total variation of the solution are proposed. Computationally simple implicit schemes are derived by using nonlocal approximation of nonlinear terms ...
Anguelov, Roumen +2 more
core +1 more source
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
Nonstandard Finite Difference Predictor Corrector Method for Quadratic Riccati Differential Equation
European Journal of Pure and Applied MathematicsSolving nonlinear differential equations reliably and effectively is critical for applications in epidemiology, ecology, and finance. Traditional finite difference approaches frequently exhibit numerical instability and fail to maintain crucial features ...
Basit Rehman +4 more
semanticscholar +1 more source
Mathematical Modelling and Analysis, 2022 This paper presents the study of singularly perturbed differential equations of convection diffusion type with non-local boundary condition. The proposed numerical scheme is a combination of classical finite difference method for the initial boundary ...
Habtamu G. Debela +2 more
doaj +1 more source
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Advanced Intelligent Systems, EarlyView.Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +4 more
wiley +1 more source
Nonstandard Finite Difference Schemes for HIV Models Arising in Epidemiology
, 2022 In this study, the numerical solution of Nonstandard Finite Difference Schemes for HIV Models Arising in Epidemiology have been presented. First, the given domain or region is discritized and the derivatives of the differential equation were replaced ...
Lukas Degu +2 more
core
Exact and nonstandard finite difference schemes for the Burgers equation B(2,2)
, 2021 In this paper, we consider the Burgers equation B(2, 2) . Exact and nonstandard finite difference schemes (NSFD) for the Burgers equation B(2, 2) are designed. First, two exact finite difference schemes for the Burgers equation B(2, 2) are proposed using
AYDIN, AYHAN, KÖROĞLU, CANAN
core +2 more sources
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
doaj +1 more source
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