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1 Ergebnisse
1
Lightweight Convolutional Network For Automated Photovoltai..:
, In:
2023 9th International Conference on Information Technology Trends (ITT)
,
Zahid, Arsalan
;
Hussain, Muhammad
;
Hill, Richard
. - p. 133-138 , 2023
Link:
https://doi.org/10.1109/ITT59889.2023.10184236
RT T1 <cTitle>2023 9th International Conference on Information Technology Trends (ITT)</cTitle>: T1 <Title>Lightweight Convolutional Network For Automated Photovoltaic Defect Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10184236&Exemplar=1&LAN=DE A1 Zahid, Arsalan A1 Hussain, Muhammad A1 Hill, Richard A1 Al-Aqrabi, Hussain YR 2023 K1 Photovoltaic systems K1 Renewable energy sources K1 Protocols K1 Photovoltaic cells K1 Computer architecture K1 Inspection K1 Data models K1 machine learning K1 deep learning K1 convolutional neural networks K1 photovoltaic SP 133 OP 138 LK http://dx.doi.org/https://doi.org/10.1109/ITT59889.2023.10184236 DO https://doi.org/10.1109/ITT59889.2023.10184236 SF ELIB - SuUB Bremen
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