Attention-Enhanced Pretrained Networks for Electroluminescence-Based Photovoltaic Cell Defect Classification
The rising global deployment of photovoltaic (PV) systems has heightened the necessity for automated defect detection systems that is accurate and computationally efficient. While deep learning offers promising solutions, identifying the optimal configuration of network structures and attention modules remains vital fo...