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Maschinelles Lernen
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A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Revisiting residential self-selection and travel behavior connection using a double machine learning
Prediction of finger movements using ultrasound images
Analysis and estimation of energy consumption of electric buses using real-world data
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Fake it till you make it: Synthetic data for emerging carsharing programs
A time series clustering based approach for construction of real-world drive cycles
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Kernel regression for travel time estimation via convex optimization
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Individual and synergistic associations among transit allowance, land use, and transit commuting
Revealing influences on carsharing users’ trip distance in small urban areas
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Data-driven train set crash dynamics simulation
Data-driven train set crash dynamics simulation