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Parameter tuning of EV drivers' charging behavioural model using machine learning techniques
Early wheel flat detection: an automatic data-driven wavelet-based approach for railways
Deep reinforcement learning-based antilock braking algorithm
Discharge control policy based on density and speed for deep Q-learning adaptive traffic signal
Comparison of traffic accident injury severity prediction models with explainable machine learning
Machine learning algorithms in ship design optimization
Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling
A robust machine learning structure for driving events recognition using smartphone motion sensors
Traffic congestion forecasting using multilayered deep neural network
STD-Yolov5: a ship-type detection model based on improved Yolov5
An automatic methodology to measure drivers’ behavior in public transport
Crash classification based on manner of collision: a comparative analysis
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles