Results 201 to 210 of about 15,644,966 (296)
A Multi-Robot Task Allocation Method Based on the Synergy of the K-Means++ Algorithm and the Particle Swarm Algorithm. [PDF]
Yuan Y, Yang P, Jiang H, Shi T.
europepmc +1 more source
Hybridization of particle swarm optimization with the K-Means algorithm for clustering analysis
Clustering is an unsupervised classification technique which deals with pattern recognition problems. While traditional analytical methods suffer from slow convergence and the challenges of high-dimensional. Recent years, particle swarm optimization (PSO)
Jin L(金莉) +3 more
core
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang +17 more
wiley +1 more source
Improving Performance of Cluster Heads Selection in DEC Protocol Using K-Means Algorithm for WSN. [PDF]
Juwaied A, Jackowska-Strumillo L.
europepmc +1 more source
ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS.
Jia Wang +22 more
wiley +1 more source
Four‐Year Cognitive Outcomes in Multiple Sclerosis: Associations With Lesion Myelin Integrity
ABSTRACT Objectives Cognitive impairment is prevalent in patients with multiple sclerosis (MS) but whether lesion myelin integrity influences future cognitive outcomes remains unclear. We investigated the relationship between baseline lesion myelin water fraction (MWF) and cognitive performance 4 years later.
Iliana Pliska‐Bloch +9 more
wiley +1 more source
Optimization of frozen goods distribution logistics network based on k-means algorithm and priority classification. [PDF]
Shi J.
europepmc +1 more source
Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm. [PDF]
Chen L, Wang W, Zhai Y, Deng M.
europepmc +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source

