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...

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Bibliographic Details
Published in:	2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
Main Author:	2-s2.0-85219521304
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	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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