| A hybrid feature model and deep-learning-based bearing fault diagnosis M Sohaib, CH Kim, JM Kim Sensors 17 (12), 2876, 2017 | 183 | 2017 |
| Fault diagnosis of rotary machine bearings under inconsistent working conditions M Sohaib, JM Kim IEEE Transactions on Instrumentation and Measurement 69 (6), 3334-3347, 2019 | 66 | 2019 |
| Reliable fault diagnosis of rotary machine bearings using a stacked sparse autoencoder-based deep neural network M Sohaib, JM Kim Shock and Vibration 2018, 2018 | 61 | 2018 |
| Deep learning aided data-driven fault diagnosis of rotatory machine: A comprehensive review S Mushtaq, MMM Islam, M Sohaib Energies 14 (16), 5150, 2021 | 58 | 2021 |
| A Reliable Acoustic Emission Based Technique for the Detection of a Small Leak in a Pipeline System TB Quy, S Muhammad, JOM Kim Energies 12 (8), 2019 | 46 | 2019 |
| 1D CNN-based transfer learning model for bearing fault diagnosis under variable working conditions MJ Hasan, M Sohaib, JM Kim Computational Intelligence in Information Systems: Proceedings of the …, 2019 | 43 | 2019 |
| Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions M Sohaib, MM Manjurul Islam, J Kim, DC Jeon, JM Kim Applied Sciences 9 (1), 2019 | 39 | 2019 |
| An explainable AI-based fault diagnosis model for bearings MJ Hasan, M Sohaib, JM Kim Sensors 21 (12), 4070, 2021 | 35 | 2021 |
| A multitask-aided transfer learning-based diagnostic framework for bearings under inconsistent working conditions MJ Hasan, M Sohaib, JM Kim Sensors 20 (24), 7205, 2020 | 32 | 2020 |
| Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods M Sohaib, MM Manjurul Islam, J Kim, JM Kim Sensors 18 (12), 2018 | 29 | 2018 |
| An SVM-based neural adaptive variable structure observer for fault diagnosis and fault-tolerant control of a robot manipulator F Piltan, AE Prosvirin, M Sohaib, B Saldivar, JM Kim Applied Sciences 10 (4), 1344, 2020 | 21 | 2020 |
| A robust deep learning based fault diagnosis of rotary machine bearings M Sohaib, JM Kim Advanced Science Letters 23 (12), 12797-12801, 2017 | 10 | 2017 |
| Improving the performance of storage tank fault diagnosis by removing unwanted components and utilizing wavelet-based features V Tra, BP Duong, JY Kim, M Sohaib, JM Kim Entropy 21 (2), 145, 2019 | 8 | 2019 |
| Deep learning for data-driven predictive maintenance M Sohaib, S Mushtaq, J Uddin Vision, Sensing and Analytics: Integrative Approaches, 71-95, 2021 | 6 | 2021 |
| Fault diagnosis of a robot manipulator based on an ARX-laguerre fuzzy PID observer F Piltan, M Sohaib, JM Kim Robot Intelligence Technology and Applications 5: Results from the 5th …, 2019 | 6 | 2019 |
| Efficient fault detection of rotor minor inter-turn short circuit in induction machines using wavelet transform and empirical mode decomposition AU Rehman, W Jiao, J Sun, M Sohaib, Y Jiang, M Shahzadi, MI Khan Sensors 23 (16), 7109, 2023 | 2 | 2023 |
| Gearbox fault diagnosis using improved feature representation and multitask learning M Sohaib, S Munir, MMM Islam, J Shin, F Tariq, SMM Ar Rashid, JM Kim Frontiers in Energy Research 10, 998760, 2022 | 2 | 2022 |
| An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures M Sohaib, S Jamil, JM Kim Sensors 24 (1), 257, 2024 | 1 | 2024 |
| Automated Analysis of Sleep Study Parameters Using Signal Processing and Artificial Intelligence M Sohaib, A Ghaffar, J Shin, MJ Hasan, MT Suleman International journal of environmental research and public health 19 (20), 13256, 2022 | 1 | 2022 |
| Higher Order Spectral Analysis of Vibration Signals and Convolutional Neural Network for the Fault Diagnosis of an Induction Motor Bearings M Sohaib, JM Kim Computational Intelligence in Information Systems: Proceedings of the …, 2019 | 1 | 2019 |
