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Applying Machine Learning Tools for Runway Configuration Decision Support
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Presound: UAV Diagnostic System Enabled by Vibration-Based Machine Learning
Celestial Mapping System and Digital Lunar Library Initiative
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning
Estimating Helicopter Noise Abatement Information with Machine Learning
DRF: A Software Architecture for a Data Marketplace to Support Advanced Air Mobility
On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Machine Learning for Slow but Steady Interplanetary Construction
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
Lunar Development Lab (LDL) Concept Leading to the First Human Lunar Outpost
Mass Inferencing Model Creation And Deployment To Lunar Excavation Robot, RASSOR
Developing a Method for Estimating AADT on all Louisiana Roads, TechSummary
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
CrossTalk: The Journal of Defense Software Engineering. Volume 28, Number 4, July/August 2015
Taxi Time Prediction at Charlotte Airport Using Fast-Time Simulation and Machine Learning Techniques
Using Multimodal Input for Autonomous Decision Making for Unmanned Systems
Distributed Learning for Complex Policies
System Qualities (SQs) Ontology, Tradespace and Affordability (SQOTA), Phase 6: 2017- 2018
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations