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Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Deep Self-Supervised Learning Models for Automotive Systems
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Exploring the non-linear associations between spatial attributes and walking distance to transit
Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach
Daily locomotion recognition and prediction: A kinematic data-based machine learning approach
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Machine Learning in Automotive Data Potential, Analytics Power
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Aircraft taxi time prediction: Feature importance and their implications
Alighting stop determination using two-step algorithms in bus transit systems
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
No Cost Autonomous Vehicle Advancements in CARLA through ROS
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions