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Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network

Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, with non-destructive inspection and traceability of 100% of produced parts. Developing robust fault detection and classification models from the start-up of the lines is challenging due to...

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Detalles Bibliográficos
Autores principales:	Balzategui, Julen, Eciolaza, Luka, Maestro-Watson, Daniel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271990/ https://www.ncbi.nlm.nih.gov/pubmed/34202285 http://dx.doi.org/10.3390/s21134361

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