PERFORMANCE EVALUATION OF PRETRAINED CNN ARCHITECTURES FOR PHOTOVOLTAIC MODULE DEFECT CLASSIFICATION FROM IR AND EL IMAGES
The rapid deployment of photovoltaic (PV) systems has increased the demand for accurate, scalable, and automated defect detection, as manual interpretation of infrared (IR) and electroluminescence (EL) images is costly, subjective, and unsuitable for large-scale solar farms. Although deep learning h...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nigerian Defence Academy
2026-04-01
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| Серии: | Academy Journal of Science and Engineering |
| Предметы: | |
| Online-ссылка: | https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/756 |
| Метки: |
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