SEiPV-Net: An Efficient Deep Learning Framework for Autonomous Multi-Defect Segmentation in Electroluminescence Images of Solar Photovoltaic Modules

Engineering

• Comparative Analysis 33%
• Deep Learning Method 100%
• Energy Systems 33%
• Human Eye 33%
• Loss Function 33%
• Luminaires 100%
• Manufacturing Phase 33%
• Metrics 33%
• Model Parameter 33%
• Photovoltaic Modules 100%
• Renewable Resource 33%
• Solar Photovoltaic 100%
• State-of-the-Art Technique 33%

Computer Science

• Assignment Weight 100%
• Comparative Analysis 50%
• Deep Learning Method 100%
• Evaluation Metric 50%
• Learning Framework 100%
• Network Architecture 50%
• Performance Gain 50%
• Superior Performance 50%
• U-Net 50%

Material Science

• Electroluminescence 100%
• Photovoltaic Modules 100%