Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images

Research article (Expert Systems with Applications, 2021) · cited 128× · AI/ML
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Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images

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Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-deep-feature-extraction-and-classification-for-identifying-defective-photovoltaic-module-cells-in-electrolumin
MLA “Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-deep-feature-extraction-and-classification-for-identifying-defective-photovoltaic-module-cells-in-electrolumin.
BibTeX @misc{4ortxyz_efficient-deep-feature-extraction-and-classification-for-identifying-defective-photovoltaic-module-cells-in-electrolumin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-deep-feature-extraction-and-classification-for-identifying-defective-photovoltaic-module-cells-in-electrolumin}, note = {Accessed: 2026-05-24}}
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