Mohamad Nassereddine

Hybrid deep learning approaches for photovoltaic fault detection: From supervised CNNs to self-supervised masked autoencoders

Photovoltaic (PV) fault diagnosis is challenged by severe class imbalance and the limited availability of labeled fault data. However, existing studies typically evaluate individual learning paradigms under different experimental protocols, making direct comparison difficult. Thi...