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Forecasting road traffic conditions using a context-based random forest algorithm
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
Real-time traffic incident detection based on a hybrid deep learning model
Alighting stop determination using two-step algorithms in bus transit systems
A unified framework of proactive self-learning dynamic pricing for high-occupancy/toll lanes
Reinforcement learning-enabled genetic algorithm for school bus scheduling
STD-Yolov5: a ship-type detection model based on improved Yolov5
Using kinematic driving data to detect sleep apnea treatment adherence
Traffic volume prediction on low-volume roadways: a Cubist approach
Integration of machine learning and statistical models for crash frequency modeling
Consumer learning behavior in choosing electric motorcycles
Incorporating congestion patterns into spatio-temporal deep learning algorithms
Asynchronous n-step Q-learning adaptive traffic signal control
Crash classification based on manner of collision: a comparative analysis
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Short-term prediction of traffic dynamics with real-time recurrent learning algorithms