Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks

Many “Industry 4.0” applications rely on data-driven methodologies such as Machine Learning and Deep Learning to enable automatic tasks and implement smart factories. Among these applications, the automatic quality control of manufacturing materials is of utmost importance to achieve precision and s...

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Detalles Bibliográficos
Autores principales: Silenzi, Andrea, Castorani, Vincenzo, Tomassini, Selene, Falcionelli, Nicola, Contardo, Paolo, Bonci, Andrea, Dragoni, Aldo Franco, Sernani, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490784/
https://www.ncbi.nlm.nih.gov/pubmed/37688059
http://dx.doi.org/10.3390/s23177607

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490784/
https://www.ncbi.nlm.nih.gov/pubmed/37688059
http://dx.doi.org/10.3390/s23177607

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