BibTeX record conf/metroi/AntoniniPVA22

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@inproceedings{DBLP:conf/metroi/AntoniniPVA22,
  author       = {Mattia Antonini and
                  Miguel Pincheira and
                  Massimo Vecchio and
                  Fabio Antonelli},
  title        = {A TinyML approach to non-repudiable anomaly detection in extreme industrial
                  environments},
  booktitle    = {{IEEE} International Workshop on Metrology for Industry 4.0 {\&}
                  IoT, MetroInd4.0{\&}IoT 2022, Trento, Italy, June 7-9, 2022},
  pages        = {397--402},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831517},
  doi          = {10.1109/METROIND4.0IOT54413.2022.9831517},
  timestamp    = {Sun, 02 Oct 2022 16:11:37 +0200},
  biburl       = {https://dblp.org/rec/conf/metroi/AntoniniPVA22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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