| Electricity theft detection in smart grid systems: A CNN-LSTM based approach M Hasan, RN Toma, AA Nahid, MM Islam, JM Kim Energies 12 (17), 3310, 2019 | 323 | 2019 |
| A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models W Ahmad, SA Khan, MMM Islam, JM Kim Reliability Engineering & System Safety 184, 67-76, 2019 | 195 | 2019 |
| Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions MJ Hasan, MMM Islam, JM Kim Measurement 138, 620-631, 2019 | 178 | 2019 |
| Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network MMM Islam, JM Kim Computers in Industry 106, 142-153, 2019 | 171 | 2019 |
| Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines MMM Islam, JM Kim Reliability Engineering & System Safety 184, 55-66, 2019 | 151 | 2019 |
| Vision-based autonomous crack detection of concrete structures using a fully convolutional encoder–decoder network MM Islam, JM Kim Sensors 19 (19), 4251, 2019 | 121 | 2019 |
| Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines MMM Islam, AE Prosvirin, JM Kim Mechanical Systems and Signal Processing 160, 107853, 2021 | 66 | 2021 |
| Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review S Mushtaq, MM Islam, M Sohaib Energies 14 (16), 5150, 2021 | 65 | 2021 |
| Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines MMM Islam, J Kim, SA Khan, JM Kim The Journal of the Acoustical Society of America 141 (2), EL89-EL95, 2017 | 50 | 2017 |
| Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions M Sohaib, M Islam, J Kim, DC Jeon, JM Kim Applied Sciences 9 (1), 196, 2019 | 39 | 2019 |
| Fault diagnosis of motor bearing using ensemble learning algorithm with FFT-based preprocessing N Sikder, K Bhakta, A Al Nahid, MMM Islam 2019 International Conference on Robotics, Electrical and Signal Processing …, 2019 | 38 | 2019 |
| Multi-sensor fusion-based time-frequency imaging and transfer learning for spherical tank crack diagnosis under variable pressure conditions MJ Hasan, MMM Islam, JM Kim Measurement 168, 108478, 2021 | 37 | 2021 |
| Crack classification of a pressure vessel using feature selection and deep learning methods M Islam, M Sohaib, J Kim, JM Kim Sensors 18 (12), 4379, 2018 | 32 | 2018 |
| Rub-impact fault diagnosis using an effective IMF selection technique in ensemble empirical mode decomposition and hybrid feature models AE Prosvirin, M Islam, J Kim, JM Kim Sensors 18 (7), 2040, 2018 | 27 | 2018 |
| Time–frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings MMM Islam, JM Kim Journal of Ambient Intelligence and Humanized Computing, 1-16, 2017 | 26 | 2017 |
| Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning MJ Hasan, MMM Islam, JM Kim Sensors 22 (1), 56, 2021 | 25 | 2021 |
| Motor bearing fault diagnosis using deep convolutional neural networks with 2D analysis of vibration signal MMM Islam, JM Kim Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018 | 25 | 2018 |
| An improved algorithm for selecting IMF components in ensemble empirical mode decomposition for domain of rub-impact fault diagnosis AE Prosvirin, MMM Islam, JM Kim IEEE Access 7, 121728-121741, 2019 | 23 | 2019 |
| Fault diagnosis of induction motor bearing using cepstrum-based preprocessing and ensemble learning algorithm K Bhakta, N Sikder, A Al Nahid, MMM Islam 2019 International Conference on Electrical, Computer and Communication …, 2019 | 18 | 2019 |
| Feature selection techniques for increasing reliability of fault diagnosis of bearings MR Islam, MMM Islam, JM Kim 2016 9th International Conference on Electrical and Computer Engineering …, 2016 | 18 | 2016 |
Jongmyon Kim울산대 IT융합학부 교수在 ulsan.ac.kr 的电子邮件经过验证
