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GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Arterial corridor travel time prediction under non-recurring conditions
Using supervised machine learning algorithms in pavement degradation monitoring
Automatic clustering-based approach for train wheels condition monitoring
A human-centric machine learning based personalized route choice prediction in navigation systems
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Propeller optimization by interactive genetic algorithms and machine learning
Detection of Motorcycle Headlights Using YOLOv5 and HSV
Representative truck activity patterns from anonymous mobile sensor data
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
Vehicle detection systems for intelligent driving using deep convolutional neural networks
Using reinforcement learning to minimize taxi idle times
A cold-start-free reinforcement learning approach for traffic signal control
Reinforcement learning-enabled genetic algorithm for school bus scheduling
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
Estimating cycle-level real-time traffic movements at signalized intersections
Electric vehicle charging demand forecasting using deep learning model
How machine learning informs ride-hailing services: A survey
Truck industry classification from anonymous mobile sensor data using machine learning