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Learning and exit behavior of new entrant discount airlines from city-pair markets
Understanding the Impact of Electric Vehicle Driving Experience on Range Anxiety
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
Als Sicherheitsingenieur bei der Jahrestagung Arbeitssicherheit: Bericht aus Berlin, Teil II
Production scheduling of assembly fixtures in the aeronautical industry
Data mining for quality control: Burr detection in the drilling process
Ein Knopf für alle Fälle. Haptisches Bediensystem setzt der Knopfflut im Kfz ein Ende
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Intelligent vehicle highway systems: a call for user-centred design
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
A methodology for photometric validation in vehicles visual interactive systems
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Application of time-variant predictive control to modelling driver steering skill
Learning curve analysis of concentrated photovoltaic systems
An artificial neural networks approach on automobile pricing
Tramstore21: the use of peer reviews in building more sustainable and efficient tram depot
Input-Decoupled Q-Learning for Optimal Control
Adaptive fuzzy control of satellite attitude by reinforcement learning
A MAS architecture for dynamic, realtime rescheduling and learning applied to railway transportation
Reinforcement learning-based multi-agent system for network traffic signal control
Case-based adaptation for automotive engine electronic control unit calibration
Learning user preferences of route choice behaviour for adaptive route guidance
Learning Framework for Robust Obstacle Detection, Recognition, and Tracking
A novel passenger flow prediction model using deep learning methods
Traffic accident analysis using machine learning paradigms
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Neural networks for continuous online learning and control
A self-learning system for local ramp metering with queue management
An approach to vehicle recognition using supervised learning
Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning