CYCLEFOOTPRINT: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors

AuthID
 P-00T-K60
5
Author(s)
T, HF
·
Rahat, M
·
Blixt, J
·
Singh, H
8
Editor(s)
Gama,J;Pashami,S;Bifet,A;Mouchaweh,MS;Fröning,H;Pernkopf,F;Schiele,G;Blott,M
Document Type
Proceedings Paper
Year published
2020
Published
in 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 in Communications in Computer and Information Science
Volume: 1325, Pages: 30-44
Indexing
Dblp®/en/publications/view/871616
Publication Identifiers
Dblp: conf/pkdd/Fanaee-TBRBS20
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