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1
A Study on the Use of Machine Learning for Detecting Abnorm..:
, In:
2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
,
Lee, Ji-Yong
;
Park, Hyunwoo
;
Shafi, Khushboo
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICNC-FSKD59587.2023.10280938
RT T1
2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
: T1
A Study on the Use of Machine Learning for Detecting Abnormalities in Gas Pressure Regulator
UL https://suche.suub.uni-bremen.de/peid=ieee-10280938&Exemplar=1&LAN=DE A1 Lee, Ji-Yong A1 Park, Hyunwoo A1 Shafi, Khushboo A1 Jin, Seohoon YR 2023 K1 Analytical models K1 Temperature distribution K1 Reactive power K1 Regulators K1 Computational modeling K1 Wind speed K1 Time series analysis K1 Gas Regulators System K1 Anomaly Detection K1 Vector Auto-Regressive (VAR) K1 Long Short-Term Memory Auto Encoder(LSTM-AE) K1 Multivariate Time Series Anomaly Detection via Graph Attention Network (MTAD-GAT) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICNC-FSKD59587.2023.10280938 DO https://doi.org/10.1109/ICNC-FSKD59587.2023.10280938 SF ELIB - SuUB Bremen
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