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Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
An automatic methodology to measure drivers’ behavior in public transport
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction
Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression
Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions
Simulation-driven design of a fast monohull
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Arterial corridor travel time prediction under non-recurring conditions
A human-centric machine learning based personalized route choice prediction in navigation systems
Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples
Propeller optimization by interactive genetic algorithms and machine learning
High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas
Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Fuel-Saving Control Strategy for Fuel Vehicles with Deep Reinforcement Learning and Computer Vision
Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation
Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Using reinforcement learning to minimize taxi idle times
Speeding Up Optimization-based Motion Planning through Deep Learning
A cold-start-free reinforcement learning approach for traffic signal control
Using Predictive Uncertainty for Cleaning Noisy Annotations
Reinforcement learning-enabled genetic algorithm for school bus scheduling