Efficient combination of deep learning and tree-based classification models for solar panel dust detection
Solar panels are crucial for converting sunlight into electricity. However, their efficiency and performance can significantly decline due to environmental factors, notably the buildup of dust and debris on their surfaces. This study proposes a hybrid model comprising a deep learning component for f...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305325000353 |
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