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Analyzing angle crashes at unsignalized intersections using machine learning techniques
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Crater detection via genetic search methods to reduce image features
A machine learning approach to crater detection from topographic data
Machine learning approaches to analysing textual injury surveillance data: A systematic review
Trajectory classification in circular restricted three-body problem using support vector machine
Red-light running violation prediction using observational and simulator data
A random forest algorithm for nowcasting of intense precipitation events
Automated detection of new impact sites on Martian surface from HiRISE images
Sunspot cycle prediction using Warped Gaussian process regression
Real-time accident detection: Coping with imbalanced data
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
GIS-based ensemble soft computing models for landslide susceptibility mapping
Traffic campaigns and overconfidence: An experimental approach
The use of machine learning improves the assessment of drug-induced driving behaviour
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
A crash severity analysis at highway-rail grade crossings: The random survival forest method
A tropical Atlantic dynamics analysis by combining machine learning and satellite data
A literature review of machine learning algorithms for crash injury severity prediction
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
Does Machine Learning reconstruct missing sunspots and forecast a new solar minimum?
Scaling uncertainties on asteroid characteristics to prepare datasets for machine learning
A hybrid machine learning model for predicting Real-Time secondary crash likelihood