Results 71 to 80 of about 8,892,749 (345)
Binary particle swarm optimization in classification [PDF]
, 2005 Purpose of this work is to show that the Particle Swarm Optimization Algorithm may improve the results of same well known Machine Learning methods in the resolution of discrete classification problems.
Galván, Inés M. +2 more
core +1 more source
Optimization of Stochastic Discrete Event Simulation Models [PDF]
, 2009 Many systems in logistics can be adequately modeled using stochastic discrete event simulation models. Often these models are used to find a good or optimal configuration of the system. This implies that optimization algorithms have to be coupled with
Buchholz, Peter
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Journal of Chemical Engineering of JapanThis study focuses on validating a two-phase flow solver based on the modified Simple Coupled Level Set and Volume of Fluid method (Uchihashi et al. 2023) through viscous Kelvin-Helmholtz instability simulations.
Naoki Shimada +4 more
doaj +1 more source
Discrete optimization using Quantum Annealing on sparse Ising models
Frontiers in Physics, 2014 This paper discusses techniques for solving discrete optimization problems using quantumannealing. Practical issues likely to affect the computation include precision limitations, finitetemperature, bounded energy range, sparse connectivity, and small ...
Zhengbing eBian +5 more
doaj +1 more source
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
Открытое образование (Москва), 2017 Nowadays the creation and the use of computer testing systems is one of perspective directions in the field of control of knowledge. Computer testing makes it possible to: • minimize time expenses at poll and processing of results and their transfer to a
L. V. Larina
doaj +1 more source
Bird Mating Optimizer for Combinatorial Optimization Problems
IEEE Access, 2020 The bird mating optimizer is a new metaheuristic algorithm that was originally proposed to solve continuous optimization problems with a very promising performance.
Anas Arram +3 more
doaj +1 more source
Distributionally Robust Linear and Discrete Optimization with Marginals
Operational Research, 2018 In optimization problems, decisions are often made in the face of uncertainty that might arise in the form of random costs or benefits. In “Distributionally Robust Linear and Discrete Optimization with Marginals,” Louis Chen, Will Ma, Karthik Natarajan ...
Louis L. Chen +4 more
semanticscholar +1 more source
Discrete Optimization for Optical Flow
, 2015 We propose to look at large-displacement optical flow from a discrete point of view. Motivated by the observation that sub-pixel accuracy is easily obtained given pixel-accurate optical flow, we conjecture that computing the integral part is the hardest piece of the problem.
Moritz Menze +2 more
openaire +3 more sources