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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
Production scheduling of assembly fixtures in the aeronautical industry
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Data mining for quality control: Burr detection in the drilling process
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Machine learning and deep learning
An artificial neural networks approach on automobile pricing
Case-based adaptation for automotive engine electronic control unit calibration
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Hub-and-spoke network design under congestion: A learning based metaheuristic
Towards efficient airline disruption recovery with reinforcement learning