Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners. - Jui-Sheng Chou; Shu-Chien Hsu; Ngoc-Tri Ngo; Chih-Wei Lin; Chia-Chi Tsui (IEEE Syst. J., 2019)

Deep neural network based framework for complex correlations in engineering metrics. - Vahid Asghari; Yat Fai Leung; Shu-Chien Hsu (Adv. Eng. Informatics, 2020)

An Approximate Dynamic Programming Approach to Vehicle Dispatching and Relocation Using Time-Dependent Travel Times. - Yunping Huang; Nan Zheng; Enming Liang; Shu-Chien Hsu; Renxin Zhong (ITSC, 2023)

Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering. - Vahid Asghari; Mohammad Hossein Kazemi; Mohammadsadegh Shahrokhishahraki; Pingbo Tang; Amin Alvanchi; Shu-Chien Hsu (Adv. Eng. Informatics, 2023)

Tracking Perimeter Control for Two-Region Macroscopic Traffic Dynamics: An Adaptive Dynamic Programming Approach. - Can Chen; Yunping Huang; Hongwei Zhang 005; Shu-Chien Hsu; Renxin Zhong (ITSC, 2024)

Predicting degraded lifting capacity of aging tower cranes: A digital twin-driven approach. - Mudasir Hussain; Zhongnan Ye; Hung-Lin Chi; Shu-Chien Hsu (Adv. Eng. Informatics, 2024)

Multi-objective optimization of two-echelon delivery with autonomous delivery vehicles and electric two-wheelers. - Zhicheng Jin; Miaojia Lu; Xiangyong Li; Shu Zhang; Shu-Chien Hsu (Comput. Ind. Eng., 2025)

Learning-Based Tracking Perimeter Control for Two-region Macroscopic Traffic Dynamics. - Can Chen; Yunping Huang; Hongwei Zhang 005; Shimin Wang; Martin Guay; Shu-Chien Hsu; Renxin Zhong (CoRR, 2025)