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Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling
An automatic methodology to measure drivers’ behavior in public transport
Traffic congestion forecasting using multilayered deep neural network
STD-Yolov5: a ship-type detection model based on improved Yolov5
Crash classification based on manner of collision: a comparative analysis
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
In-store shopping trip predictions and impact factors during COVID-19 emergencies
Active learning metamodelling for survival rate analysis of simulated emergency medical systems
Research on the air brake system of heavy haul trains based on neural network
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
A novel algorithm for ship characteristic points extraction based on density clustering