Results 31 to 40 of about 5,361,319 (303)
A Numerical Approach for the Analytical Solution of Multidimensional Wave Problems
Complexity, 2023 Wave problem arises in various phenomena of science and engineering. This study proposes an efficient and appropriate scheme to produce the approximate solutions of multidimensional problems arising in wave propagation.
Jinxing Liu +3 more
doaj +1 more source
Applied SciencesThis study proposes a novel approach to constructing composite indicators, utilizing discriminant analysis to identify the determining factors for the diagnosis of multidimensional depression and to provide an index that represents the ...
Matheus Pereira Libório +7 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell +2 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced at least one flare during a six‐month prospective observational study were ...
Sarah Stewart +12 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Generation Methods for Multidimensional Knapsack Problems and their Implications [PDF]
Journal of Systemics, Cybernetics and Informatics, 2007 Although there are a variety of heuristics developed and applied to the variants of the binary knapsack problem, the testing of these heuristics are based on poorly defined test problems.
Raymond R. Hill, Chaitr Hiremath
doaj
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Advanced Functional Materials, EarlyView.Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley +1 more source
Lie Groups of Partial Differential Equations and Their Application to the Multidimensional Screening Problems [PDF]
In this paper I describe group theoretic methods that can be used for analyzing the boundary problems, which arise when the Hamiltonian method is applied to solve the relaxed problem for the multidimensional screening problem.
Suren Basov
core +2 more sources
Two Algorithms for Solving Unconstrained Global Optimization by Auxiliary Function Method
Tikrit Journal of Pure ScienceIn this paper, we present two algorithms that are designed to solve unconstrained global optimization problems. The first algorithm is introduced for resolving unconstrained optimization problems by dividing a multidimensional problem into partitions of
Shehab Ahmed Ibrahem +2 more
doaj +1 more source