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Game Theory-Based Lane Change Decision-Making Considering Vehicle’s Social Value Orientation
Application of Machine Learning in Generating Load Profile Transitions for a Gear Pair
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Aircraft air data system fault detection and reconstruction scheme design
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
THC Concentration Estimation Model using FTIR Spectrum
Deep Self-Supervised Learning Models for Automotive Systems
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Generating bunkering statistics from AIS data: A machine learning approach
Non-linear associations between the built environment and the physical activity of children
Autonomous Quadcopter for Building Construction Monitoring