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1
Supervised Time Series Segmentation as Enabler of Multi-Pha..:
, In:
2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
,
Gaugel, Stefan
;
Wu, Binlan
;
Anand, Adarsh
. - p. 1-8 , 2023
Link:
https://doi.org/10.1109/INDIN51400.2023.10218185
RT T1 <cTitle>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</cTitle>: T1 <Title>Supervised Time Series Segmentation as Enabler of Multi-Phased Time Series Classification: A Study on Hydraulic End-of-Line Testing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10218185&Exemplar=1&LAN=DE A1 Gaugel, Stefan A1 Wu, Binlan A1 Anand, Adarsh A1 Reichert, Manfred YR 2023 SN 2378-363X K1 Deep learning K1 Machine learning algorithms K1 Time series analysis K1 Semantics K1 Pumps K1 Hydraulic systems K1 Feature extraction K1 Time Series Classification K1 Time Series Segmentation K1 Deep Learning K1 Machine Learning K1 End-of-Line Testing SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/INDIN51400.2023.10218185 DO https://doi.org/10.1109/INDIN51400.2023.10218185 SF ELIB - SuUB Bremen
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