Funder
National Natural Science Foundation of China
Natural Science Foundation of Hebei Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference34 articles.
1. Akram, M. W., Li, G., Jin, Y., Chen, X., Zhu, C., & Ahmad, A. (2020). Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning. Solar Energy, 198(1), 175–186. https://doi.org/10.1016/j.solener.2020.01.055
2. Akram, M. W., Li, G., Jin, Y., Chen, X., Zhu, C., Zhao, X., & Ahmad, A. (2019). CNN based automatic detection of photovoltaic cell defects in electroluminescence images. Energy, 189(15), 116–319.
3. Balzategui, J., Eciolaza, L., & Maestro-Watson, D. (2021). Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network. Sensors, 21(13), 4361. https://doi.org/10.3390/s21134361
4. Chen, H., Pang, Y., Hu, Q., & Liu, K. (2020). Solar cell surface defect inspection based on multispectral convolutional neural network. Journal of Intelligent Manufacturing, 31(2), 453–468. https://doi.org/10.1007/s10845-018-1458-z
5. Chen, H., Wang, Y., Wang, G., & Qiao, Y. (2018). Lstd: A low-shot transfer detector for object detection. In Proceedings of the AAAIConference on Artificial Intelligence (Vol. 32, Issue 1). https://doi.org/10.1609/aaai.v32i1.11716.
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