An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
Strategy for on-orbit space object classification using deep learning
A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge
Object ground lines regression and mapping from fisheye images to around view image for the AVP
A novel deep learning network for accurate lane detection in low-light environments
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Autonomous trajectory planning method for hypersonic vehicles in glide phase based on DDPG algorithm
Research on fault prediction of marine diesel engine based on attention-LSTM
Aero-engine acceleration control using deep reinforcement learning with phase-based reward function
The prediction of autonomous vehicle occupants’ pre-crash motion during emergency braking scenarios
Q-learning–based practical disturbance compensation control for hypersonic flight vehicle
Uncertainty quantification of aeroelastic wings flutter using an optimized machine learning approach
A novel control strategy of automatic parallel parking system based on Q-learning
SMART on-board multi-sensor obstacle detection system for improvement of rail transport safety
Estimating the traction factor and designing the deck gear for the anchor handling tug
Machine learning approaches for improving condition-based maintenance of naval propulsion plants
Recognition of abnormal car door noise based on multi-scale feature fusion
Obstacle avoidance trajectory planning strategy considering network communication constraints
Calculate the ignition height of the vertical landing phase online for the reusable rocket
Deep learning structure for collision avoidance planning of unmanned surface vessel
An improved Dueling Deep Q-network with optimizing reward functions for driving decision method
Augmented Lagrangian teaching–learning-based optimization for structural design
Data-driven model for ship encounter intention inference in intersection waters based on AIS data
An optimal approach for generation of time delay algorithms for anti-air missiles
Iterative learning NARMA-L2 control for turbofan engine with dynamic uncertainty in flight envelope