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Minh-Quang Tran
Minh-Quang Tran
TUETECH University
Verified email at tuetech.edu.vn - Homepage
Title
Cited by
Cited by
Year
Deep learning-based industry 4.0 and internet of things towards effective energy management for smart buildings
M Elsisi, MQ Tran, K Mahmoud, M Lehtonen, MMF Darwish
Sensors 21 (4), 1038, 2021
1812021
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
M Elsisi, MQ Tran, K Mahmoud, DEA Mansour, M Lehtonen, ...
Measurement 190, 110686, 2022
1512022
Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment
MQ Tran, M Elsisi, K Mahmoud, MK Liu, M Lehtonen, MMF Darwish
IEEE access 9, 115429-115441, 2021
1362021
Effective multi-sensor data fusion for chatter detection in milling process
MQ Tran, MK Liu, M Elsisi
ISA transactions 125, 514-527, 2022
1182022
Robust design of ANFIS-based blade pitch controller for wind energy conversion systems against wind speed fluctuations
M Elsisi, MQ Tran, K Mahmoud, M Lehtonen, MMF Darwish
IEEE Access 9, 37894-37904, 2021
1172021
Effective fault diagnosis based on wavelet and convolutional attention neural network for induction motors
MQ Tran, MK Liu, QV Tran, TK Nguyen
IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2021
1112021
Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification
MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud, MMF Darwish, ...
IEEE Access 10, 23186-23197, 2022
1082022
Milling chatter detection using scalogram and deep convolutional neural network
MQ Tran, MK Liu, QV Tran
The International Journal of Advanced Manufacturing Technology 107 (3), 1505 …, 2020
1062020
Towards secured online monitoring for digitalized GIS against cyber-attacks based on IoT and machine learning
M Elsisi, MQ Tran, K Mahmoud, DEA Mansour, M Lehtonen, ...
Ieee Access 9, 78415-78427, 2021
1052021
Tool wear monitoring and prediction based on sound signal
MK Liu, YH Tseng, MQ Tran
The International Journal of Advanced Manufacturing Technology 103, 3361-3373, 2019
912019
Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
MQ Tran, M Amer, AY Abdelaziz, HJ Dai, MK Liu, M Elsisi
Measurement 207, 112398, 2023
872023
Development of an IoT architecture based on a deep neural network against cyber attacks for automated guided vehicles
M Elsisi, MQ Tran
Sensors 21 (24), 8467, 2021
822021
Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
MQ Tran, HP Doan, VQ Vu, LT Vu
Measurement 207, 112351, 2023
802023
Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis
MQ Tran, M Elsisi, MK Liu
Measurement 184, 109962, 2021
802021
Robust model predictive control paradigm for automatic voltage regulators against uncertainty based on optimization algorithms
M Elsisi, MQ Tran, HM Hasanien, RA Turky, F Albalawi, SSM Ghoneim
Mathematics 9 (22), 2885, 2021
782021
Fusion of vibration and current signatures for the fault diagnosis of induction machines
MK Liu, MQ Tran, PY Weng
Shock and Vibration 2019 (1), 7176482, 2019
392019
Hybrid model-and signal-based chatter detection in the milling process
MK Liu, MQ Tran, C Chung, YW Qui
Journal of Mechanical Science and Technology 34, 1-10, 2020
262020
Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals
TT Vo, MK Liu, MQ Tran
Engineering Applications of Artificial Intelligence 129, 107643, 2024
192024
Adaptive pulsatile plane for robust noncontact heart rate monitoring
QV Tran, SF Su, W Sun, MQ Tran
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (9), 5587-5599, 2019
182019
Robust indoor positioning of automated guided vehicles in internet of things networks with deep convolution neural network considering adversarial attacks
M Elsisi, AL Rusidi, MQ Tran, CL Su, MN Ali
IEEE Transactions on Vehicular Technology, 2024
152024
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