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Warning signal as a component of a compound stimulus in human eyelid conditioning.
Towards the True Hybrid: Physics-Informed Trainable Models for Prognostics and Health Management
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Assurance for Safety-Critical, Machine Learning-enabled Aviation Systems
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Spectral generalization testing with pigeons using brief discrete trials.
Software Development Cost: How Much? You Sure? Technical Summary
Recent efforts in Machine Learning for RANS modelling of separated flows
Real World Applications of AI/ML in Optimizing Airspace Operations
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
NASA’s Continued Partnerships with High School Students during a Global Pandemic
Machine Learning in Atomistic Simulations for Additive Manufacturing Alloys
Machine Learning for Exploring Data Streams, with Lessons from the Very Long Baseline Array
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
Informing Climate Retrieval Development Using Data Mining or How to Help Scientist Draw Better Lines
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Autonomy Teaming & TRAjectories for Complex Trusted Operational Reliability: ATTRACTOR