| Convolutional neural network for ultrasonic weldment flaw classification in noisy conditions N Munir, HJ Kim, J Park, SJ Song, SS Kang Ultrasonics 94, 74-81, 2019 | 161 | 2019 |
| Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder N Munir, J Park, HJ Kim, SJ Song, SS Kang Ndt & E International 111, 102218, 2020 | 109 | 2020 |
| MRPC eddy current flaw classification in tubes using deep neural networks J Park, SJ Han, N Munir, YT Yeom, SJ Song, HJ Kim, SG Kwon Nuclear Engineering and Technology 51 (7), 1784-1790, 2019 | 19 | 2019 |
| Performance comparison of ultrasonic focusing techniques for phased array ultrasonic inspection of dissimilar metal welds YI Hwang, J Park, HJ Kim, SJ Song, YS Cho, SS Kang International Journal of Precision Engineering and Manufacturing 20, 525-534, 2019 | 19 | 2019 |
| System invariant method for ultrasonic flaw classification in weldments using residual neural network J Park, SE Lee, HJ Kim, SJ Song, SS Kang Applied Sciences 12 (3), 1477, 2022 | 12 | 2022 |
| Sizing-based flaw acceptability in weldments using phased array ultrasonic testing and neural networks SE Lee, J Park, YT Yeom, HJ Kim, SJ Song Applied Sciences 13 (5), 3204, 2023 | 7 | 2023 |
| Discrimination of Poor Electrode Junctions within Lithium-Ion Batteries by Ultrasonic Measurement and Deep Learning YI Hwang, J Park, N Munir, HJ Kim, SJ Song, KB Kim Batteries 8 (3), 21, 2022 | 6 | 2022 |
| Extraction of Flaw Signals from the Mixed 1-D Signals by Denoising Autoencoder SE Lee, J Park, HJ Kim, SJ Song Applied Sciences 13 (6), 3534, 2023 | 3 | 2023 |
| Focusing performance of phased array ultrasonic focusing methods using FEM simulation JH Park, YI Hwang, HJ Kim, SJ Song, YS Cho Journal of the Korean Society for Nondestructive Testing 37 (4), 239-248, 2017 | 3 | 2017 |
| Development of nondestructive system for detecting the cracks in KTX brake disk using Rayleigh wave MS Kim, YT Yeom, JH Park, SJ Song, HJ Kim, SD Kwon, HY Lee Journal of the Korean Society for Nondestructive Testing 37 (1), 29-36, 2017 | 3 | 2017 |
| Improved ultrasonic dead zone detectability of work rolls using a convolutional neural network YT Yeom, HH Kim, J Park, HJ Kim, SJ Song Applied Sciences 12 (10), 5009, 2022 | 2 | 2022 |
