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Decision making for highway complex scenario by improved safety field with learning process
Preceding vehicle following algorithm with human driving characteristics
Soft one-class extreme learning machine for turboshaft engine fault detection
A comparative study on class-imbalanced gas turbine fault diagnosis
Non-intrusive reduced-order modeling for fluid problems: A brief review
A review of the technological developments for interlocking at level crossing
A review of the artificial neural network surrogate modeling in aerodynamic design
Online learning fuzzy vibration control of smart truss structure
Integrated celestial navigation for spacecraft using interferometer and Earth sensor
Application of neural networks for the prediction of railway bearing failures
Neural networks for modelling the energy consumption of metro trains
Performance evaluation and prediction of rudders based on machine learning technology
Deep learning-based inertia tensor identification of the combined spacecraft
Deep reinforcement learning based path tracking controller for autonomous vehicle
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
Self-learning control for coordinated collision avoidance of automated vehicles
Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning
Research on automated parking perception based on a multi-sensor method
A self-learning lane change motion planning system considering the driver’s personality
A learning-based evaluation for lane departure warning system considering driving characteristics
Beta distribution-based knock probability map learning and spark timing control for SI engines
Net winch design in trawlers, influence of vessel size and fishing ground
Navigational control of underwater mobile robot using dynamic differential evolution approach
Artificial intelligence-aided detection of rail defects based on ultrasonic imaging data
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents