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Data-driven Anomaly Detection for Railway Propulsion Control Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5293-3804
2020 (English)In: IECON Proceedings (Industrial Electronics Conference), Institute of Electrical and Electronics Engineers (IEEE) , 2020, p. 4351-4356, article id 9255026Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. p. 4351-4356, article id 9255026
Series
IECON Proceedings (Industrial Electronics Conference), ISSN 2162-4704
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-49982DOI: 10.1109/IECON43393.2020.9255026ISI: 000637323704057Scopus ID: 2-s2.0-85097751773ISBN: 9781665435543 (print)ISBN: 9781424417667 (print)OAI: oai:DiVA.org:mdh-49982DiVA, id: diva2:1471788
Conference
46th Annual Conference of the IEEE Industrial Electronics Society IECON 2020, 18 Oct 2020, Singapore, Singapore
Available from: 2020-09-29 Created: 2020-09-29 Last updated: 2026-02-10Bibliographically approved

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Causevic, Aida

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