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Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Estimating wildlife strike costs at US airports: A machine learning approach
Traffic campaigns and overconfidence: An experimental approach
Machine learning approach to ship fuel consumption: A case of container vessel
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
The Causality for Climate Challenge
Factors impacting bike crash severity in urban areas
Learning efficient haptic shape exploration with a rigid tactile sensor array
A literature review of machine learning algorithms for crash injury severity prediction
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Examining optoelectronics in machine vision and applications in industry 4.0
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
AI-based Wave Prediction in Complex Plasmas
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Non-linear associations between the built environment and the physical activity of children
Gaussian process regression for forecasting battery state of health
The use of machine learning improves the assessment of drug-induced driving behaviour
Machine learning approaches to analysing textual injury surveillance data: A systematic review
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
The usefulness of artificial intelligence for safety assessment of different transport modes
A crash severity analysis at highway-rail grade crossings: The random survival forest method
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
Modeling time-of-day car use behavior: A Bayesian network approach
Using explainable machine learning to understand how urban form shapes sustainable mobility
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Machine learning estimates of plug-in hybrid electric vehicle utility factors
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
Real-time accident detection: Coping with imbalanced data