中文版 | English
Title

Deep Learning based Defect Detection Algorithm for Solar Panels

Author
DOI
Publication Years
2023
ISSN
2835-3366
ISBN
979-8-3503-0733-7
Source Title
Pages
438-443
Conference Date
19-19 Aug. 2023
Conference Place
Beijing, China
Keywords
SUSTech Authorship
Others
URL[Source Record]
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10261859
Citation statistics
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/582703
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.Department of Key Lab of Industrial Computer Control Engineering, Hebei Province Yanshan University, Qinhuangdao, China
2.Department of Computing Science, University of Alberta, Edmonton, AB, Canada
3.Hebei Baoding Jiasheng Photovoltaic Technology Co., Ltd.
4.Department of Institute for Medical Science and Technology (IMSaT), University of Dundee, United Kingdom
5.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
Recommended Citation
GB/T 7714
Jiaqi Li,Hongxu Li,Yifan Wu,et al. Deep Learning based Defect Detection Algorithm for Solar Panels[C],2023:438-443.
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