A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Applying Machine Learning Tools for Runway Configuration Decision Support
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Self-learning for translational control of elliptical orbit spacecraft formations
Recent advances and prospects in hypersonic inlet design and intelligent optimization
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
Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines
Intelligent Classification of Automotive Horn Sound Quality
Machine learning algorithms in ship design optimization
Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning