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TÍTULO: CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors
AUTORES: Hadi Fanaee T; Mohamed Rafik Bouguelia; Mahmoud Rahat; Jonathan Blixt; Harpal Singh;
PUBLICAÇÃO: 2020, FONTE: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, VOLUME: 1325
INDEXADO EM: DBLP