Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review.

Autor(en): Stahmann, Philip
Rieger, Bodo 
Stichwörter: Computer science; Identification (biology); Machine learning; Data mining; Artificial intelligence; Anomaly detection
Erscheinungsdatum: 2021
Herausgeber: Hawaii International Conference on System Sciences
Journal: hawaii international conference on system sciences
Startseite: 5738
DOI: https://doi.org/10.24251/hicss.2021.696
Rechte: cc-by-nc-nd

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