LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification

Mathematics

• Solar Cells 100%
• Defects 73%
• Neural Network Model 36%
• Learning 26%
• Data Preprocessing 24%
• K-means Algorithm 22%
• K-means Clustering 22%
• Hot Spot 21%
• Performance Model 21%
• Cracking 21%
• Electricity 20%
• Clustering Algorithm 19%
• Repair 16%
• Speedup 15%
• Experiment 11%
• Energy 9%
• Performance 8%
• Model 4%

Engineering & Materials Science

• Solar cells 62%
• Defects 50%
• K-means clustering 33%
• Neural networks 17%
• Dust 15%
• Fault detection 13%
• Clustering algorithms 13%
• Deep learning 13%
• Repair 12%
• Electricity 10%
• Experiments 5%