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Comparative analysis of machine learning models for anomaly detection in manufacturing

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Veröffentlicht in: Procedia computer science 200(2022), Seite 1288-1297
Personen und Körperschaften: Kharitonov, Andrey (VerfasserIn), Nahhas, Abdulrahman (VerfasserIn), Pohl, Matthias (VerfasserIn), Turowski, Klaus (VerfasserIn)
Titel: Comparative analysis of machine learning models for anomaly detection in manufacturing
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2022
Gesamtaufnahme: : Procedia computer science, 200(2022), Seite 1288-1297
, volume:200
Quelle: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
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spelling Kharitonov, Andrey VerfasserIn aut, Comparative analysis of machine learning models for anomaly detection in manufacturing, 2022, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Part of special issue: 3rd International Conference on Industry 4.0 and Smart Manufacturing, Nahhas, Abdulrahman VerfasserIn aut, Pohl, Matthias VerfasserIn aut, Turowski, Klaus VerfasserIn aut, Enthalten in Procedia computer science Amsterdam [u.a.] : Elsevier, 2010 200(2022), Seite 1288-1297 Online-Ressource (DE-627)627614809 (DE-600)2557358-5 (DE-576)324121466 1877-0509, volume:200 year:2022 pages:1288-1297, https://doi.org/10.1016/j.procs.2022.01.330 Resolving-System kostenfrei, https://doi.org/10.1016/j.procs.2022.01.330 LFER, LFER 2022-04-08T09:41:49Z
spellingShingle Kharitonov, Andrey, Nahhas, Abdulrahman, Pohl, Matthias, Turowski, Klaus, Comparative analysis of machine learning models for anomaly detection in manufacturing
title Comparative analysis of machine learning models for anomaly detection in manufacturing
title_auth Comparative analysis of machine learning models for anomaly detection in manufacturing
title_full Comparative analysis of machine learning models for anomaly detection in manufacturing
title_fullStr Comparative analysis of machine learning models for anomaly detection in manufacturing
title_full_unstemmed Comparative analysis of machine learning models for anomaly detection in manufacturing
title_in_hierarchy Comparative analysis of machine learning models for anomaly detection in manufacturing,
title_short Comparative analysis of machine learning models for anomaly detection in manufacturing
title_sort comparative analysis of machine learning models for anomaly detection in manufacturing
url https://doi.org/10.1016/j.procs.2022.01.330