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MODELLING LEARNING AND ADAPTATION IN TRANSPORTATION CONTEXTS
Wake distribution prediction on the propeller plane in ship design using artificial intelligence
Driver steering and muscle activity during a lane-change manoeuvre
Oppositional particle swarm optimization algorithm and its application to fault monitor
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms
Consumer learning behavior in choosing electric motorcycles
Visual robotic behavior learning
Traversing seen and unseen corridors with Artificial Neural Networks/Context matching
Situated learning of visual robotic behaviors
Traversing unknown foyer and cluttered environments with Artificial Neural Networks/Context matching
TUDOR tip position control with Neural Networks
Learning Mobile Robot Behaviour Dynamics
Proposed VR Simulator with Ability to Discriminate Velocity of Approaching Car
The Simulated Experience Road Crossing Using AR
Predicting incident duration using random forests
Collision-avoidance under COLREGS for unmanned surface vehicles via deep reinforcement learning