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 | 147 | 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 | 98 | 2020 |
Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments N Munir, HJ Kim, SJ Song, SS Kang Journal of Mechanical Science and Technology 32 (7), 3073 - 3080, 2018 | 78 | 2018 |
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 | 17 | 2019 |
Non-contact detection of railhead defects and their classification by using convolutional neural network I Ghafoor, WT Peter, N Munir, AJC Trappey Optik 253, 168607, 2022 | 12 | 2022 |
Single-phase auto-reclosing scheme using particle filter and convolutional neural network M Saad, CH Kim, N Munir IEEE Transactions on Power Delivery 37 (6), 4775-4785, 2022 | 11 | 2022 |
Lamb wave flaw classification in Al plates using time reversal and deep neural networks Z Tang, N Munir, T Lee, YT Yeom, SJ Song Journal of the Korean Physical Society 75, 978-984, 2019 | 6 | 2019 |
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 | 3 | 2022 |
Pattern Recognition Based Auto-Reclosing Scheme Using Bi-Directional Long Short-Term Memory Network M Saad, N Munir, CH Kim IEEE Access 10, 119734-119744, 2022 | 1 | 2022 |
Tracking of non-linearity growth caused by imbalance using Hilbert transform N Munir, AU Rehman, FD Qazi Insight-Non-Destructive Testing and Condition Monitoring 59 (1), 32-37, 2017 | | 2017 |