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Learning and exit behavior of new entrant discount airlines from city-pair markets
Decision making for highway complex scenario by improved safety field with learning process
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
The learning process of accessibility instrument developers: Testing the tools in planning practice
Unmixing method for hyperspectral data based on sub-space method with learning process
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Production scheduling of assembly fixtures in the aeronautical industry
Survey of machine learning techniques in spacecraft control design
Adaptive guidance and integrated navigation with reinforcement meta-learning
Ein Knopf für alle Fälle. Haptisches Bediensystem setzt der Knopfflut im Kfz ein Ende
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Data mining for quality control: Burr detection in the drilling process
GIS-based ensemble soft computing models for landslide susceptibility mapping
Reinforcement learning approach for train rescheduling on a single-track railway
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Intelligent vehicle highway systems: a call for user-centred design
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Enhancing discrete choice models with representation learning
Predicting cycle-level traffic movements at signalized intersections using machine learning models
A methodology for photometric validation in vehicles visual interactive systems
Using reinforcement learning to minimize taxi idle times
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Automotive fault diagnosis - part II: a distributed agent diagnostic system
A gradient boosting method to improve travel time prediction
Propulsionless planar phasing of multiple satellites using deep reinforcement learning
Self-learning for translational control of elliptical orbit spacecraft formations
Application of time-variant predictive control to modelling driver steering skill
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Preceding vehicle following algorithm with human driving characteristics
A deep learning based traffic crash severity prediction framework
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning