Chinese Articulation Disorder-Correcting Application Based on Neural Networks. - Chu-Chih Huang; Shanq-Jang Ruan; Hannah H. Chen 002; Ya-Wen Tu; Li-Ching Chang (GCCE, 2019)

Power-Management Strategies in sEMG Wireless Body Sensor Networks Based on Computation Allocations: A Case Study for Fatigue Assessments. - Pin-Chang Chen; Shanq-Jang Ruan; Ya-Wen Tu (IEEE Access, 2020)

A 3DCNN-LSTM Hybrid Framework for sEMG-Based Noises Recognition in Exercise. - Min-Wen Lin; Shanq-Jang Ruan; Ya-Wen Tu (IEEE Access, 2020)

Optimizing the Sensor Placement for Foot Plantar Center of Pressure without Prior Knowledge Using Deep Reinforcement Learning. - Cheng-Wu Lin; Shanq-Jang Ruan; Wei-Chun Hsu; Ya-Wen Tu; Shao-Li Han (Sensors, 2020)

Deep Learning-based automated classification of Chinese Speech Sound Disorders. - Yao-Ming Kuo; Shanq-Jang Ruan; Yu-Chin Chen; Ya-Wen Tu (CoRR, 2022)

A Text-Dependent End-to-End Speech Sound Disorder Detection and Diagnosis in Mandarin-Speaking Children. - Chen-Hsuan Hsiao; Shanq-Jang Ruan; Chih-Lun Chen; Ya-Wen Tu; Yu-Chin Chen; Griffani Megiyanto Rahmatullah (IEEE Trans. Instrum. Meas., 2024)

A Hybrid Model for Muscle Fatigue Detection: Integrating Time and Frequency Domain Features of sEMG Signals With RPE Scale During Isometric Contraction. - Wei-Ting Wu; Shanq-Jang Ruan; Ya-Wen Tu; Ya-Ling Huang; Huai-Jing Guo (IEEE Trans. Instrum. Meas., 2025)