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Learning Driver Behavior Models for Predicting Urban Traffic Situations
Applying Machine Learning Tools for Runway Configuration Decision Support
Adaptive human-robot policy blending for shared control teleoperation
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines