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Learning and exit behavior of new entrant discount airlines from city-pair markets
Decision making for highway complex scenario by improved safety field with learning process
Understanding the Impact of Electric Vehicle Driving Experience on Range Anxiety
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
Fuel cell vehicle and infrastructure learning demonstration status and results
A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes
Machine learning approaches for detection of robot errors in human brain signals
Identification of the Students Learning Process During Education Robotics Activities
Degradation Mode Recognition for Battery of Electric Vehicle Based on ART2 Network
Simulation-driven machine learning for robotics and automation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
The learning process of accessibility instrument developers: Testing the tools in planning practice
Production scheduling of assembly fixtures in the aeronautical industry
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Unmixing method for hyperspectral data based on sub-space method with learning process
Combining learning and structure for robotic manipulation
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Data mining for quality control: Burr detection in the drilling process
Survey of machine learning techniques in spacecraft control design
Big data machine learning for flight planning
Big data machine learning for flight planning
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Adaptive guidance and integrated navigation with reinforcement meta-learning
Electrophysiological correlates of reinforcement learning and credit assignment
Reinforcement learning to adjust parametrized motor primitives to new situations
Learning motion skills for a humanoid robot
Beyond the tracked line of sight: gaze-driven user models
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
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
DROPO: Sim-to-real transfer with offline domain randomization
Intelligent vehicle highway systems: a call for user-centred design