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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
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
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
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Machine learning and deep learning
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Applying Machine Learning Tools for Runway Configuration Decision Support
Technische und lernpsychologische Zusammenhänge bei Trainingssimulatoren für die Fahrausbildung
Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
AI-based Parameter Optimization Method
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Metro Bilbao training simulator. The first experience of training novice drivers
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
An artificial neural networks approach on automobile pricing
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Case-based adaptation for automotive engine electronic control unit calibration
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Testing the TASP: An experimental investigation of learning in games with unstable equilibria
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
UUV teams, control from a biological perspective