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A Data-Driven Approach to Recognizing and Understanding Human Contributions to Aviation Safety
Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Applications of Machine Learning to Flight Dynamics Operations
Artificial Intelligence Enhancements to Imagery for Space Operations
Artificial Intelligence for Advanced Earth Science Information Systems
Autonomy Teaming & TRAjectories for Complex Trusted Operational Reliability: ATTRACTOR
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Informing Climate Retrieval Development Using Data Mining or How to Help Scientist Draw Better Lines
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
Machine Learning for Exploring Data Streams, with Lessons from the Very Long Baseline Array
Machine Learning in Atomistic Simulations for Additive Manufacturing Alloys
NASA’s Continued Partnerships with High School Students during a Global Pandemic
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Real World Applications of AI/ML in Optimizing Airspace Operations
Recent efforts in Machine Learning for RANS modelling of separated flows