Using kinematic driving data to detect sleep apnea treatment adherence
Traffic volume prediction on low-volume roadways: a Cubist approach
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Prediction of extent of damage in vehicle during crash using improved XGBoost model
Method for automated detection of outliers in crash simulations
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
A data-driven dynamics simulation framework for railway vehicles
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Integration of machine learning and statistical models for crash frequency modeling
Crash classification based on manner of collision: a comparative analysis
Incorporating congestion patterns into spatio-temporal deep learning algorithms
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Predicting incident duration using random forests