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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
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
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
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
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
A reinforcement learning model for personalized driving policies identification
Machine learning and deep learning
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Technische und lernpsychologische Zusammenhänge bei Trainingssimulatoren für die Fahrausbildung
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Metro Bilbao training simulator. The first experience of training novice drivers
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
An artificial neural networks approach on automobile pricing
Case-based adaptation for automotive engine electronic control unit calibration
Testing the TASP: An experimental investigation of learning in games with unstable equilibria
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Date Estimation in the Wild Dataset
Evolutionary Computation Methods for Helicopter Loads Estimation
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
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Towards efficient airline disruption recovery with reinforcement learning
Periodenbezogene Produktionsprogrammplanung bei betrieblichem Lernen
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Real-time demand forecasting for an urban delivery platform
Detecting hidden targets: a procedure for studying performance in a mine-detection-like task