Performance evaluation and prediction of rudders based on machine learning technology
Self-learning control for coordinated collision avoidance of automated vehicles
Classification-learning-based framework for predicting railway track irregularities
Machine learning based prediction of rail transit signal failure: A case study in the United States
Deep learning-based inertia tensor identification of the combined spacecraft
Deep reinforcement learning based path tracking controller for autonomous vehicle
Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning
Research on automated parking perception based on a multi-sensor method
A learning-based evaluation for lane departure warning system considering driving characteristics
A self-learning lane change motion planning system considering the driver’s personality
Beta distribution-based knock probability map learning and spark timing control for SI engines