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learning
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keywords:(learning)
Learning and exit behavior of new entrant discount airlines from city-pair markets
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
Interorganisationales Lernen : ein kompetenzorientierter Ansatz zur Steuerung von Logistiknetzwerken
Production scheduling of assembly fixtures in the aeronautical industry
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Data mining for quality control: Burr detection in the drilling process
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Machine learning and deep learning
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Technische und lernpsychologische Zusammenhänge bei Trainingssimulatoren für die Fahrausbildung
A deep learning based traffic crash severity prediction framework
Highway crash detection and risk estimation using deep learning
Metro Bilbao training simulator. The first experience of training novice drivers
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Case-based adaptation for automotive engine electronic control unit calibration
Some implications of an event-based definition of exposure to the risk of road accident
A feature learning approach based on XGBoost for driving assessment and risk prediction
An artificial neural networks approach on automobile pricing
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Testing the TASP: An experimental investigation of learning in games with unstable equilibria
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic campaigns and overconfidence: An experimental approach
Hub-and-spoke network design under congestion: A learning based metaheuristic
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Towards efficient airline disruption recovery with reinforcement learning
Computer-based training for safety: Comparing methods with older and younger workers