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Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm., , , , and . CoRR, (2023)Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic., , , , and . ITSC, page 4011-4017. IEEE, (2023)Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning., , , , , and . ITSC, page 6074-6079. IEEE, (2023)Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System., , and . SMC, page 1702-1708. IEEE, (2023)A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection., , , and . CoRR, (2021)Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice., , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (6): 6558-6574 (June 2023)Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm., , , , and . ITSC, page 1741-1746. IEEE, (2023)Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers., , , , , and . ITSC, page 6165-6170. IEEE, (2023)Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection., , , , and . CoRR, (2023)A hybrid spatial-temporal deep learning architecture for lane detection., , , and . Comput. Aided Civ. Infrastructure Eng., 38 (1): 67-86 (January 2023)