Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals. - Vo, Thanh-Tung; Liu, Meng-Kun; Tran, Minh-Quang (Eng. Appl. Artif. Intell., 2024)

Content-aware malicious webpage detection using convolutional neural network. - Chang, Yen-Jen; Tsai, Kun-Lin; Jiang, Wei-Cheng; Liu, Meng-Kun (Multim. Tools Appl., 2024)

Hybrid 1D CNN-RNN Network for Fault Diagnosis in Induction Motors Using Electrical Signals. - Vo, Tung-Thanh; Liu, Meng-Kun; Hsieh, Chung-Lin (2023)

Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification. - Tran, Minh-Quang; Elsisi, Mahmoud; Liu, Meng-Kun; Vu, Viet Q.; Mahmoud, Karar; Darwish, Mohamed M. F.; Abdelaziz, Almoataz Y.; Lehtonen, Matti (IEEE Access, 2022)

Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors. - Tran, Minh-Quang; Liu, Meng-Kun; Tran, Quoc-Viet; Nguyen, Toan-Khoa (IEEE Trans. Instrum. Meas., 2022)

MMG data. - Liu, Meng-Kun (IEEE DataPort, 2022)

Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment. - Tran, Minh-Quang; Elsisi, Mahmoud; Mahmoud, Karar; Liu, Meng-Kun; Lehtonen, Matti; Darwish, Mohamed M. F. (IEEE Access, 2021)

Lifetime Prediction for Bearings in Induction Motor. - Chang, Shu-Tzu; Liu, Meng-Kun; Lan, Chen-Yang; Hsu, Wei-Ting (2019)

Induction motor faults diagnosis using support vector machine to the motor current signature. - Guo, Han; Liu, Meng-Kun (2018)

Monitoring of ultrasonic machining process by time-frequency analysis. - Liu, Meng-Kun; Chang, Hsueh-Yu; Kuo, Han (2017)

Hemobarogram subwave component pulse signal identification. - Chang, Peter I.; Liu, Meng-Kun; Su, Bo-Hao; Chang, Chun-Fan (2016)