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As seen in: Wiley Online Library
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Articles

Development of a Handheld Hotspot Detecting Device Based on YOLOv5 Application on Thermal Images of Photovoltaic Panels

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By AIoT Laboratory, Duong Hai, Nguyen Nhan
| Wiley Online Library Verified
This research was presented at the 6th ICEBA 2025 International Conference (The 5th International Conference on Engineering, Physics, MEMS-Biosensors, and Applications), co-organized by VNUHCM-University of Science, Tohoku University, and Eastern International University. References 1, , , , , . Intelligent maintenance approaches for improving photovoltaic system performance and reliability. Solar RRL 2025; 9 1–26. 2, , , .
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Applying RetinaNet Machine Learning Models for Hot‐Spot Detection in Thermal Images of Photovoltaic Panel

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By AIoT Laboratory, Nguyen Minh Triet, Huynh Van Tuan, Nguyen Nhan
| Wiley Online Library Verified
References 1, , , . Assessment of machine and deep learning approaches for fault diagnosis in photovoltaic systems using infrared thermography. Remote Sensing 2023; 15:6. https://doi.org/10.3390/rs15061686. 2, , , , , , . Early hotspot detection in photovoltaic modules using color image descriptors: An infrared thermography study. International Journal of Energy Research 2022; 46(2): 774–785. 3, , , , .
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