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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
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Machine learning and deep learning
Using reinforcement learning to minimize taxi idle times
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Crash Rate Estimation by Aerial Image Analysis
Technische und lernpsychologische Zusammenhänge bei Trainingssimulatoren für die Fahrausbildung
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Speeding Up Optimization-based Motion Planning through Deep Learning
Metro Bilbao training simulator. The first experience of training novice drivers
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
A cold-start-free reinforcement learning approach for traffic signal control
Artificial intelligence for traffic signal control based solely on video images
An artificial neural networks approach on automobile pricing
Incremental Skill Learning of Stable Dynamical Systems
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Considerazioni sulla formazione mediante simulatori di condotta
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
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Hub-and-spoke network design under congestion: A learning based metaheuristic