Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Sensors, 22, (8), MDPI, https://doi.org/10.26083/tuprints-00021287

Event: Veröffentlichung

(where): Darmstadt

(who): Universitäts- und Landesbibliothek

(when): 2022

Creator: Fährmann, Daniel
Damer, Naser
Kirchbuchner, Florian
Kuijper, Arjan

DOI: 10.26083/tuprints-00021287

URN: urn:nbn:de:tuda-tuprints-212876

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Last update: 15.08.2025, 7:27 AM CEST

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Fährmann, Daniel
Damer, Naser
Kirchbuchner, Florian
Kuijper, Arjan
Universitäts- und Landesbibliothek

Time of origin

2022

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Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems

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