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"A TinyML approach to non-repudiable anomaly detection in extreme ..."

Mattia Antonini et al. (2022)

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DOI: 10.1109/METROIND4.0IOT54413.2022.9831517

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

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  - conf/metroi/AntoniniPVA22
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Mattia Antonini, Miguel Pincheira, Massimo Vecchio, Fabio Antonelli:
A TinyML approach to non-repudiable anomaly detection in extreme industrial environments. MetroInd4.0& IoT 2022: 397-402

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