Advanced fault detection in photovoltaic panels using enhanced U-Net architectures
Fault detection in photovoltaic (PV) panels using thermal images remains a significant challenge due to the complexity of thermal patterns, environmental noise, and the subtle nature of anomalies. This paper introduces an advanced deep learning framework that enhances the U-Net architecture by integ...
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| Main Authors: | Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827025000192 |
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