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Nauman Munir
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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
1312019
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
882020
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
692018
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
162019
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
112022
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
82022
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
62019
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
12022
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
12022
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
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