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A reinforcement learning model for personalized driving policies identification
Date Estimation in the Wild Dataset
Development of a global road safety performance function using deep neural networks
Using supervised machine learning algorithms in pavement degradation monitoring
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
A deep learning method for the prediction of 6-DoF ship motions in real conditions
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
Identification of optimal locations of adaptive traffic signal control using heuristic methods
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety