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1 Ergebnisse
1
Rail System Anomaly Detection via Machine Learning Approach..:
, In:
2020 IEEE REGION 10 CONFERENCE (TENCON)
,
Lee, Zi Shan
;
Guo, Huaqun
;
Zhou, Luying
- p. 824-828 , 2020
Link:
https://doi.org/10.1109/TENCON50793.2020.9293809
RT T1
2020 IEEE REGION 10 CONFERENCE (TENCON)
: T1
Rail System Anomaly Detection via Machine Learning Approaches
UL https://suche.suub.uni-bremen.de/peid=ieee-9293809&Exemplar=1&LAN=DE A1 Lee, Zi Shan A1 Guo, Huaqun A1 Zhou, Luying YR 2020 SN 2159-3450 K1 Telecommunication traffic K1 SCADA systems K1 Rails K1 Training K1 Machine learning K1 Anomaly detection K1 Testing K1 Machine Learning K1 Rail System K1 Anomaly Detection K1 Supervisory Control and Data Acquisition (SCADA) K1 K-Nearest Neighbours (KNN) SP 824 OP 828 LK http://dx.doi.org/https://doi.org/10.1109/TENCON50793.2020.9293809 DO https://doi.org/10.1109/TENCON50793.2020.9293809 SF ELIB - SuUB Bremen
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