| 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 | 438 | 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 | 254 | 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 | 234 | 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 | 222 | 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 | 194 | 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 | 173 | 2019 |
| Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review S Mushtaq, MM Islam, M Sohaib Energies 14 (16), 5150, 2021 | 109 | 2021 |
| 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 | 104 | 2021 |
| 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 | 58 | 2019 |
| 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 | 55 | 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 | 54 | 2019 |
| 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 | 53 | 2018 |
| 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 | 46 | 2021 |
| Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning MJ Hasan, MMM Islam, JM Kim Sensors 22 (1), 56, 2021 | 36 | 2021 |
| 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 15 (2), 1527-1542, 2024 | 33 | 2024 |
| 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 | 32 | 2019 |
| 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 | 29 | 2018 |
| Motor bearing fault diagnosis using deep convolutional neural networks with 2d analysis of vibration signal MMM Islam, JM Kim Canadian conference on artificial intelligence, 144-155, 2018 | 29 | 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 | 26 | 2019 |
| Review of Artifact Detection Methods for Automated Analysis and Diagnosis in Digital Pathology H Shakhawat, S Hossain, A Kabir, SMH Mahmud, MMM Islam, F Tariq Artificial Intelligence for Disease Diagnosis and Prognosis in Smart …, 2023 | 23 | 2023 |
Jongmyon Kim울산대 IT융합학부 교수Verified email at ulsan.ac.kr
