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1 Ergebnisse
1
Data-driven Anomaly Detection for Railway Propulsion Contro..:
, In:
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
,
Hodzic, Ajna
;
Skulj, Dzenita
;
Causevic, Aida
- p. 4351-4356 , 2020
Link:
https://doi.org/10.1109/IECON43393.2020.9255026
RT T1
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
: T1
Data-driven Anomaly Detection for Railway Propulsion Control Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-9255026&Exemplar=1&LAN=DE A1 Hodzic, Ajna A1 Skulj, Dzenita A1 Causevic, Aida YR 2020 SN 2577-1647 K1 Propulsion K1 Linux K1 Anomaly detection K1 Sensors K1 Rail transportation K1 Transportation K1 Traction motors K1 edge computing K1 anomaly detection K1 machine learning K1 railway SP 4351 OP 4356 LK http://dx.doi.org/https://doi.org/10.1109/IECON43393.2020.9255026 DO https://doi.org/10.1109/IECON43393.2020.9255026 SF ELIB - SuUB Bremen
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