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1 Ergebnisse
1
Predicting Ice Thickness of Transmission Lines Using Gaussi..:
, In:
2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)
,
Yin, Pancheng
;
Zhang, Hong
;
Liu, Chengjiang
... - p. 263-265 , 2023
Link:
https://doi.org/10.1109/iWEM58222.2023.10234940
RT T1 <cTitle>2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)</cTitle>: T1 <Title>Predicting Ice Thickness of Transmission Lines Using Gaussian Regression Process and Micrometeorological Parameters: A Machine Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10234940&Exemplar=1&LAN=DE A1 Yin, Pancheng A1 Zhang, Hong A1 Liu, Chengjiang A1 Zhang, Qianqian A1 Li, Yan A1 Xu, Jingjie YR 2023 SN 2835-7655 K1 Temperature distribution K1 Technological innovation K1 Power transmission lines K1 Machine learning algorithms K1 Ice thickness K1 Neural networks K1 Machine learning K1 Fiber bragg grating (FBG) sensor K1 Ice detection K1 Gaussian process regression(GPR) K1 Artificial neural networks SP 263 OP 265 LK http://dx.doi.org/https://doi.org/10.1109/iWEM58222.2023.10234940 DO https://doi.org/10.1109/iWEM58222.2023.10234940 SF ELIB - SuUB Bremen
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