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Muhammad Sohaib
Muhammad Sohaib
Assistant Professor at Lahore Garrison University
Verified email at lgu.edu.pk
Title
Cited by
Cited by
Year
A hybrid feature model and deep-learning-based bearing fault diagnosis
M Sohaib, CH Kim, JM Kim
Sensors 17 (12), 2876, 2017
1502017
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
492018
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
422019
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
372019
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
272019
1D CNN-based transfer learning model for bearing fault diagnosis under variable working conditions
MJ Hasan, M Sohaib, JM Kim
International Conference on Computational Intelligence in Information System …, 2018
272018
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
212018
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
182020
An explainable ai-based fault diagnosis model for bearings
MJ Hasan, M Sohaib, JM Kim
Sensors 21 (12), 4070, 2021
142021
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
132020
Deep learning aided Data-Driven fault diagnosis of rotatory machine: a comprehensive review
S Mushtaq, MMM Islam, M Sohaib
Energies 14 (16), 5150, 2021
122021
A robust deep learning based fault diagnosis of rotary machine bearings
M Sohaib, JM Kim
Advanced Science Letters 23 (12), 12797-12801, 2017
102017
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
62019
Fault diagnosis of a robot manipulator based on an ARX-laguerre fuzzy PID observer
F Piltan, M Sohaib, JM Kim
International Conference on Robot Intelligence Technology and Applications …, 2017
62017
Deep Learning for Data-Driven Predictive Maintenance
M Sohaib, S Mushtaq, J Uddin
Vision, Sensing and Analytics: Integrative Approaches, 71-95, 2021
22021
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
2022
Gearbox fault diagnosis using improved feature representation and multitask learning
M Sohaib, S Munir, MM Islam, J Shin, F Tariq, SM Ar Rashid, JM Kim
Frontiers in Energy Research 10, 2022
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
International Conference on Computational Intelligence in Information System …, 2018
2018
Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences
M Sohaib, JM Kim
Australasian Conference on Artificial Life and Computational Intelligence …, 2017
2017
MACHINE LEARNING BASED INTELLIGENT SYSTEM FOR IP TRAFFIC CLASSIFICATION
A KHALIL, K AHMAD, J KHAN, F IMTIAZ
Sindh University Research Journal-SURJ (Science Series) 45 (4), 2013
2013
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