Holdings: A Multi-Layer Deep Learning System for Fault Detection Solar Cell Electroluminescence Images

A Multi-Layer Deep Learning System for Fault Detection Solar Cell Electroluminescence Images

An automatic solar defect detection with a classification system was proposed using deep learning. This paper focuses on solar defects in photovoltaic systems identified through electroluminescence (EL) images. Convolutional Neural Networks (CNNS), Artificial Neural Networks (ANN), Support Vector Ma...

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Bibliographic Details
Main Authors:	Almashhadani R., Hock G.C., Hani Nordin F., Abdulrazzak H.N., Ali Abbas Z.
Other Authors:	57223341022
Format:	Conference paper
Published:	IEEE Computer Society 2025
Subjects:	Convolutional neural networks Deep neural networks Multilayer neural networks Classification system Convolutional neural network Defect detection Electroluminescence images Faults detection Multi-layers Neural-networks Photovoltaic systems Photovoltaics VGG16 Support vector machines
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A Multi-Layer Deep Learning System for Fault Detection Solar Cell Electroluminescence Images

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