Search Results for author:
Found 2 papers, 0 papers with code
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections
The external visual inspections of rolling stock's underfloor equipment are currently being performed via human visual inspection.
Railway Anomaly detection model using synthetic defect images generated by CycleGAN
Although training data is essential for machine learning, railway companies are facing difficulties in gathering adequate images of defective equipment due to their proactive replacement of would be defective equipment.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
