Aller au contenu
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Connexion
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Recherche avancée
  • A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry
Image de couverture de livre

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

Fuente: Redalyc
Enregistré dans:
Détails bibliographiques
Auteur principal: Blanka Bártová
Format: Artículo científico
Langue:en
Publié: Associação Brasileira de Engenharia de Produção 2022
Sujets:
Ingeniería
Defect
Detection
Data mining
Manufacturing
Classification
Accès en ligne:
Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
  • Citer
  • Envoyer par SMS
  • Envoyer par courriel
  • Imprimer
  • Exporter les notices
    • Exporter vers RefWorks
    • Exporter vers EndNoteWeb
    • Exporter vers EndNote
  • Ajouter aux favoris
  • Permalien
  • Exemplaires
  • Description
  • Commentaires
  • Documents similaires
  • Affichage MARC

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

Documents similaires

  • HIGH-FIDELITY SOLAR PANELS DEFECT DIAGNOSIS: A YOLOV9 FRAMEWORK LEVERAGING A LARGE CURATED THERMAL DATASET
    par: Zeeshan Haider, Ahmad Taher Azar and Yasmin Adel Hagag
    Publié: (2026)
  • LEVERAGING MACHINE LEARNING FOR FRAUD DETECTION IN BANKING
    par: Journal of Science and Technology Excellence
    Publié: (2026)
  • Efficient Image Classification using Data Mining
    par: Walid MOUDANI
    Publié: (2011)
  • Applying Predictive Data Mining to Discover Factors Associated to the Language Skill Performance from Elementary School Students
    par: Ricardo Timarán-Pereira
    Publié: (2022)
  • Data driven fault detection and isolation: a wind turbine scenario
    par: Rubén Francisco Manrique Piramanrique
    Publié: (2015)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 387,319© 2026 Universidad del Mar