A data-efficient active learning architecture for anomaly detection in industrial time series data.

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Bibliographic Details
Title: A data-efficient active learning architecture for anomaly detection in industrial time series data.
Authors: Holtz, David1 (AUTHOR), Kaymakci, Can2,3 (AUTHOR), Leuthe, Daniel4,5 (AUTHOR) daniel.leuthe@fim-rc.de, Wenninger, Simon4,5 (AUTHOR), Sauer, Alexander2,3 (AUTHOR)
Source: Flexible Services & Manufacturing Journal. Jun2026, Vol. 38 Issue 2, p618-649. 32p.
Database: Business Source Ultimate
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Description
ISSN:19366582
DOI:10.1007/s10696-024-09588-0