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1 Ergebnisse
1
Defect detection for PV Modules based on the improved YOLOv..:
, In:
2022 China Automation Congress (CAC)
,
Xu, Shuwei
;
Qian, Huimin
;
Shen, Wenyu
... - p. 1431-1436 , 2022
Link:
https://doi.org/10.1109/CAC57257.2022.10055183
RT T1
2022 China Automation Congress (CAC)
: T1
Defect detection for PV Modules based on the improved YOLOv5s
UL https://suche.suub.uni-bremen.de/peid=ieee-10055183&Exemplar=1&LAN=DE A1 Xu, Shuwei A1 Qian, Huimin A1 Shen, Wenyu A1 Wang, Fangzheng A1 Liu, Xiquan A1 Xu, Zhangjin YR 2022 SN 2688-0938 K1 Photovoltaic systems K1 Fault diagnosis K1 Degradation K1 Visualization K1 Automation K1 Annotations K1 Neural networks K1 defect detection K1 PV modules K1 deep neural network SP 1431 OP 1436 LK http://dx.doi.org/https://doi.org/10.1109/CAC57257.2022.10055183 DO https://doi.org/10.1109/CAC57257.2022.10055183 SF ELIB - SuUB Bremen
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