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A reinforcement learning model for personalized driving policies identification
Development of a global road safety performance function using deep neural networks
Using supervised machine learning algorithms in pavement degradation monitoring
Predicting the traction power of metropolitan railway lines using different machine learning models
Automatic clustering-based approach for train wheels condition monitoring
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Truck industry classification from anonymous mobile sensor data using machine learning