Defects Prediction Method for Radiographic Images Based on Random PSO Using Regional Fluctuation Sensitivity

This paper presents an advanced methodology for defect prediction in radiographic images, predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on fluctuation sensitivity. Conventional PSO models with stable velocity are often beleaguered with challenges in precisely p...

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Detalles Bibliográficos
Autores principales: Shang, Zhongyu, Li, Bing, Chen, Lei, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301541/
https://www.ncbi.nlm.nih.gov/pubmed/37420844
http://dx.doi.org/10.3390/s23125679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301541/
https://www.ncbi.nlm.nih.gov/pubmed/37420844
http://dx.doi.org/10.3390/s23125679

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