Analysis of Photovoltaic Cell Defect Classification Using Residual Neural Network

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Analysis of Photovoltaic Cell Defect Classification Using Residual Neural Network

The photovoltaic (PV) system has seen significant advancements in recent years. Accurate defect classification is essential for maximizing the energy output of PV cells throughout their lifespan. With the rapid progress in deep learning and convolutional neural networks (CNN), PV images can now be l...

書誌詳細
出版年:	2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
第一著者:	2-s2.0-85219521304
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219521304&doi=10.1109%2fSCOReD64708.2024.10872644&partnerID=40&md5=3d0a0ea6ce466a1417be5682ffe1b58a

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