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HIGH-FIDELITY SOLAR PANELS DEFECT DIAGNOSIS: A YOLOV9 FRAMEWORK LEVERAGING A LARGE CURATED THERMAL DATASET
HIGH-FIDELITY SOLAR PANELS DEFECT DIAGNOSIS: A YOLOV9 FRAMEWORK LEVERAGING A LARGE CURATED THERMAL DATASET
Fuente:
Zenodo
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Bibliographic Details
Main Author:
Zeeshan Haider, Ahmad Taher Azar and Yasmin Adel Hagag
Format:
Recurso digital
Published:
Zenodo
2026
Subjects:
Photovoltaic Defects; Defects Detection; Renewable Energy; Thermography; Yolov9; Solar Panel Defects.
Online Access:
Acceder al recurso
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Internet
https://doi.org/10.5281/zenodo.20067683
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