Results 91 to 100 of about 600,362 (302)
Predicting Student Performance through Machine Learning Methods: Naive Bayesian Classifier [PDF]
Journal of Artificial Intelligence and System ModellingEducation includes many aspects of knowledge, skills, impact on society, and values that shape critical thinking and personal development. Student outcomes are linked to a wide range of factors, which include teaching quality, parent involvement ...
Chenyang Li +3 more
doaj +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Information, 2015 Quantum-behaved particle swarm optimization (QPSO), a global optimization method, is a combination of particle swarm optimization (PSO) and quantum mechanics.
Pengfei Jia, Shukai Duan, Jia Yan
doaj +1 more source
Quantum Optimization Algorithms
CoRRQuantum optimization allows for up to exponential quantum speedups for specific, possibly industrially relevant problems. As the key algorithm in this field, we motivate and discuss the Quantum Approximate Optimization Algorithm (QAOA), which can be understood as a slightly generalized version of Quantum Annealing for gate-based quantum computers.
Jonas Stein 0001 +3 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
A self-organizing random immigrants genetic algorithm for dynamic optimization problems
, 2007 This is the post-print version of the article. The official published version can be obtained from the link below - Copyright @ 2007 SpringerIn this paper a genetic algorithm is proposed where the worst individual and individuals with indices close to ...
Yang, S +7 more
core +1 more source
Non-stationary problem optimization using the primal-dual genetic algorithm [PDF]
, 2003 This article is posted here with permission from IEEE - Copyright @ 2003 IEEEGenetic algorithms (GAs) have been widely used for stationary optimization problems where the fitness landscape does not change during the computation. However, the environments
Yang, S +2 more
core +1 more source
Scientific ReportsThe whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems.
Junjie Tang, Lianguo Wang
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A Selection Process for Genetic Algorithm Using Clustering Analysis
Algorithms, 2017 This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase ...
Adam Chehouri +4 more
doaj +1 more source