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

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

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

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

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

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

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

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

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

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

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