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Data-driven Anomaly Detection for Railway Propulsion Control Systems
Hodzic, Ajna
Skulj, Dzenita
Causevic, Aida
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
ORCID iD:
0000-0001-5293-3804
2020 (English)
In:
IECON Proceedings (Industrial Electronics Conference), 2020, p. 4351-4356, article id 9255026
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2020. p. 4351-4356, article id 9255026
National Category
Engineering and Technology Computer Systems
Identifiers
URN:
urn:nbn:se:mdh:diva-49982
DOI:
10.1109/IECON43393.2020.9255026
ISI:
000637323704057
Scopus ID:
2-s2.0-85097751773
OAI: oai:DiVA.org:mdh-49982
DiVA, 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:
2021-05-27
Bibliographically approved
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Causevic, Aida
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ieee
modern-language-association-8th-edition
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
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text
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html
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