"An Energy-efficient And Trustworthy Unsupervised Anomaly Detection ..."

Zijie Huang et al. (2022)

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DOI: 10.1145/3543855

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type: Journal Article

metadata version: 2023-05-31

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Zijie Huang, Yulei Wu, Niccoló Tempini, Hui Lin, Hao Yin:
An Energy-efficient And Trustworthy Unsupervised Anomaly Detection Framework (EATU) for IIoT. ACM Trans. Sens. Networks 18(4): 56:1-56:18 (2022)

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