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Efficient and Stable Online Learning for Developmental Robots
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
Distributed resource allocation in wireless networks.
ein spieltheoretisch lernendes Systemkonzept
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens; 1. Auflage
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States
Real World Applications of AI/ML in Optimizing Airspace Operations
Recent efforts in Machine Learning for RANS modelling of separated flows
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
Artificial Intelligence Enhancements to Imagery for Space Operations
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
A Data-Driven Approach to Recognizing and Understanding Human Contributions to Aviation Safety
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Proposed VR Simulator with Ability to Discriminate Velocity of Approaching Car
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model
The Simulated Experience Road Crossing Using AR
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques