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...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nigerian Defence Academy
2026-04-01
|
| Schriftenreihe: | Academy Journal of Science and Engineering |
| Schlagworte: | |
| Online-Zugang: | https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/756 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|