| HDR image-based deep learning approach for automatic detection of split defects on sheet metal stamping parts AR Singh, T Bashford-Rogers, D Marnerides, K Debattista, S Hazra The International Journal of Advanced Manufacturing Technology 125 (5), 2393 …, 2023 | 15 | 2023 |
| Process optimization and characterization of ultra-thin dissimilar sheet material joints for battery applications using ultrasonic welding AR Singh, C Sudarsan, A Das, S Hazra, SK Panda Journal of Materials Engineering and Performance 31 (5), 4133-4149, 2022 | 11 | 2022 |
| Deep learning-based defect inspection in sheet metal stamping parts AR Singh, T Bashford-Rogers, S Hazra, K Debattista NUMISHEET 2022: Proceedings of the 12th International Conference and …, 2022 | 7 | 2022 |
| Generating synthetic training images to detect split defects in stamped components AR Singh, T Bashford-Rogers, S Hazra, K Debattista IEEE Transactions on Industrial Informatics, 2023 | 2 | 2023 |
| Deep Learning Approach for automatic detection of split defects on sheet metal stamping parts AR Singh, T Bashford-Rogers, K Debattista, S Hazra Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2024 | | 2024 |
| Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine AK Parida, R Kumari, AR Singh, A Bandyopadhyay, S Swain 2023 OITS International Conference on Information Technology (OCIT), 156-161, 2023 | | 2023 |
| Deep learning for defect detection on sheet metal stamped parts AR Singh University of Warwick, 2023 | | 2023 |
Kurt DebattistaUniversity of WarwickVerified email at warwick.ac.uk
