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Maschinelles Lernen
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Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Using explainable machine learning to understand how urban form shapes sustainable mobility
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Urban activity pattern classification using topic models from online geo-location data
Understanding market competition between transportation network companies using big data
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Transit electrification state of the art: A machine-learning based text mining approach
Transferability improvement in short-term traffic prediction using stacked LSTM network
Trajectory classification in circular restricted three-body problem using support vector machine
Traffic campaigns and overconfidence: An experimental approach
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
The use of machine learning improves the assessment of drug-induced driving behaviour
The usefulness of artificial intelligence for safety assessment of different transport modes
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
Terramechanics models augmented by machine learning representations
Temporal logic learning-based anomaly detection in metroplex terminal airspace operations
Systematic TLE data improvement by neural network for most cataloged resident space objects
Synthesizing neighborhood preferences for automated vehicles
Survey of machine learning techniques in spacecraft control design
Super-resolution flow-field reconstruction in rotating detonation combustors
Sunspot cycle prediction using Warped Gaussian process regression