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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
Using supervised machine learning algorithms in pavement degradation monitoring
Automatic clustering-based approach for train wheels condition monitoring
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
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
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
How machine learning informs ride-hailing services: A survey
Truck industry classification from anonymous mobile sensor data using machine learning
Predicting the traction power of metropolitan railway lines using different machine learning models
A reinforcement learning model for personalized driving policies identification
Studying the capabilities of the analytical system based on the machine learning method
Development of a global road safety performance function using deep neural networks
EVALUATION OF OBSERVATION PARAMETERS BY REDUCTION METHOD
ADAPTIVE COHERENT SIGNAL PROCESSING ON THE BACKGROUND OF PASSIVE INTERFERENCE