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An optimal approach for generation of time delay algorithms for anti-air missiles
Feedback error learning neural networks for spark advance control using cylinder pressure
Classification-learning-based framework for predicting railway track irregularities
Machine learning approaches for improving condition-based maintenance of naval propulsion plants
Online learning fuzzy vibration control of smart truss structure
Navigational control of underwater mobile robot using dynamic differential evolution approach
Estimating the traction factor and designing the deck gear for the anchor handling tug
Augmented Lagrangian teaching–learning-based optimization for structural design
Non-intrusive reduced-order modeling for fluid problems: A brief review
A review of the artificial neural network surrogate modeling in aerodynamic design
Performance evaluation and prediction of rudders based on machine learning technology
Net winch design in trawlers, influence of vessel size and fishing ground
Integrated celestial navigation for spacecraft using interferometer and Earth sensor
Neural networks for modelling the energy consumption of metro trains
Deep learning-based inertia tensor identification of the combined spacecraft
Preceding vehicle following algorithm with human driving characteristics
A review of the technological developments for interlocking at level crossing
Self-learning control for coordinated collision avoidance of automated vehicles
Deep reinforcement learning based path tracking controller for autonomous vehicle
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
Misfire detection of diesel engine based on convolutional neural networks
Strategy for on-orbit space object classification using deep learning
A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge
Deep learning structure for collision avoidance planning of unmanned surface vessel
Decision making for highway complex scenario by improved safety field with learning process
Soft one-class extreme learning machine for turboshaft engine fault detection
Application of neural networks for the prediction of railway bearing failures
Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning
Construction of a deep sparse filtering network for rotating machinery fault diagnosis
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents