Detecting Anomalies in Time Series Using Kernel Density Approaches

Journal Article · 31 December 2023 · IEEE Access

DOI: https://doi.org/10.1109/ACCESS.2024.3371891 · OSTI ID:2316100

Frehner, Robin  ^[1]; Wu, Kesheng  ^[2]; Sim, Alexander  ^[2]; Kim, Jinoh  ^[3]; Stockinger, Kurt  ^[1]

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1. School of Engineering, Zurich University of Applied Sciences, Winterthur, Switzerland
2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA
3. Department of Computer Science and Information Systems, Texas A&,M University--Commerce, Commerce, TX, USA

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• Sponsoring Organization: USDOE
• Grant/Contract Number: AC02-05CH11231
• OSTI ID: 2316100
• Journal Information: IEEE Access, Journal Name: IEEE Access Vol. 12; ISSN 2169-3536
• Publisher: Institute of Electrical and Electronics EngineersCopyright Statement
• Country of Publication: United States
• Language: English