Integrating Deep Transfer Learning and Image Enhancement for Enhancing Defective Photovoltaic Cells Classification in Electroluminescence Images

The rapid growth of photovoltaic (PV) systems has highlighted the need for efficient and reliable defect detection to maintain system performance. Electroluminescence (EL) imaging has emerged as a promising technique for identifying defects in PV cells; however, challenges remain in accurately class...

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Hlavní autoři:	Hanim Suraya Mohd Mokhtar, Aimi Salihah Abdul Nasir, Mohammad Faridun Naim Tajuddin, Muhammad Hafeez Abdul Nasir, Kumuthawathe Ananda Rao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Iran University of Science and Technology 2025-06-01
Edice:	Iranian Journal of Electrical and Electronic Engineering
Témata:	photovoltaic (pv) defect classification electroluminescence multi-scale retinex (msr) multi-scale retinex 2 (msr2) pre-trained models.
On-line přístup:	http://ijeee.iust.ac.ir/article-1-3571-en.pdf
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