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Maschinelles Lernen
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Predicting the future development scale of high-speed rail through the urban scaling law
Fake it till you make it: Synthetic data for emerging carsharing programs
Benchmarking deep learning approaches for all-vs-all conjunction screening
A kilometer or a mile? Does buffer size matter when it comes to car ownership?
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
A methodology for identifying similar days in air traffic flow management initiative planning
Individual and synergistic associations among transit allowance, land use, and transit commuting
Machine learning methods for nonlinear dimensionality reduction of the thermospheric density field
Terramechanics models augmented by machine learning representations
Revealing influences on carsharing users’ trip distance in small urban areas
ResLogit: A residual neural network logit model for data-driven choice modelling
A data-centric weak supervised learning for highway traffic incident detection
Machine learning-based draft prediction for mouldboard ploughing in sandy clay loam soil
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Predicting and explaining lane-changing behaviour using machine learning: A comparative study
Learning-based restoration sequence ordering for multi-site traffic signal failure
Direct mapping representation of small-body gravity fields under multidimensional features
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Machine learning approach for spatial modeling of ridesourcing demand
Predicting demand for air taxi urban aviation services using machine learning algorithms
Temporal logic learning-based anomaly detection in metroplex terminal airspace operations
Super-resolution flow-field reconstruction in rotating detonation combustors
Understanding market competition between transportation network companies using big data
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India
Detection and identification of significant events in historical aircraft trajectory data