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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
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
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