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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/metroi/AntoniniPVA22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Fabio_Antonelli>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Massimo_Vecchio>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mattia_Antonini>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Miguel_Pincheira>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FMetroInd4.0IoT54413.2022.9831517>
foaf:homepage <https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831517>
dc:identifier DBLP conf/metroi/AntoniniPVA22 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FMetroInd4.0IoT54413.2022.9831517 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label A TinyML approach to non-repudiable anomaly detection in extreme industrial environments. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Fabio_Antonelli>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Massimo_Vecchio>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mattia_Antonini>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Miguel_Pincheira>
swrc:pages 397-402 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/metroi/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/metroi/AntoniniPVA22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/metroi/AntoniniPVA22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/metroi/metroi2022.html#AntoniniPVA22>
rdfs:seeAlso <https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831517>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/metroi>
dc:title A TinyML approach to non-repudiable anomaly detection in extreme industrial environments. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document