Semi-automatic quality inspection of solar cell based on Convolutional Neural Networks J Balzategui, L Eciolaza, N Arana-Arexolaleiba, J Altube, JP Aguerre, ... 2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019 | 16 | 2019 |
Defect detection on polycrystalline solar cells using electroluminescence and fully convolutional neural networks J Balzategui, L Eciolaza, N Arana-Arexolaleiba 2020 IEEE/SICE International Symposium on System Integration (SII), 949-953, 2020 | 12 | 2020 |
Deep learning for deflectometric inspection of specular surfaces D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba The 13th International Conference on Soft Computing Models in Industrial and …, 2018 | 9 | 2018 |
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba Journal of Electronic Imaging 29 (4), 041007, 2020 | 6 | 2020 |
Deflectometric data segmentation based on fully convolutional neural networks D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba Fourteenth International Conference on Quality Control by Artificial Vision …, 2019 | 6 | 2019 |
Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network J Balzategui, L Eciolaza, D Maestro-Watson Sensors 21 (13), 4361, 2021 | 3 | 2021 |