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Maschinelles Lernen
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keywords:(Maschinelles Lernen)
Future Autonomous Transportation: Challenges and Prospective Dimensions
Fake it till you make it: Synthetic data for emerging carsharing programs
Exploring user satisfaction and improvement priorities in electric vehicle segments
Exploring the nonlinear effects of built environment characteristics on customized bus service
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Exploring nonlinear built environment effects on driving with a mixed-methods approach
Exploring Image-Based Classification to Detect Vehicle Make and Model. Final Report
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Estimating wildlife strike costs at US airports: A machine learning approach
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations
Environmental screening model of driving behavior for an electric bus entering and leaving stops
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Computational methods for cognitive and cooperative robotics
Combining learning and structure for robotic manipulation
Combat vehicle classification using machine learning
Clustering sensor data for autonomous terrain identification using time-dependency
Characterizing Smart Grid Events Using Clustering Methods
Catenary Support Components and Their Characteristics in High-Speed Railways
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe