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  • A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry
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A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry

Fuente: Redalyc
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Bibliographic Details
Main Author: Blanka Bártová
Format: Artículo científico
Language:en
Published: Associação Brasileira de Engenharia de Produção 2022
Subjects:
Ingeniería
Defect
Detection
Data mining
Manufacturing
Classification
Online Access:
Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5
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Internet

https://www.redalyc.org/articulo.oa?id=396769689006
https://www.redalyc.org/journal/3967/396769689006/
https://www.redalyc.org/journal/3967/396769689006/html/
https://www.redalyc.org/journal/3967/396769689006/396769689006.epub
https://www.redalyc.org/journal/3967/396769689006/movil

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