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Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations
Abstract: Recently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules. Existing studies have built a CNN ...
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