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Applying Machine Learning Tools for Runway Configuration Decision Support
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Presound: UAV Diagnostic System Enabled by Vibration-Based Machine Learning
Learn more about NASA Langley’s Crew Systems Capabilities!
On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model
Celestial Mapping System and Digital Lunar Library Initiative
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning