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Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning
Real World Applications of AI/ML in Optimizing Airspace Operations
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Recent efforts in Machine Learning for RANS modelling of separated flows
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
Artificial Intelligence Enhancements to Imagery for Space Operations
A Data-Driven Approach to Recognizing and Understanding Human Contributions to Aviation Safety
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Machine Learning in Atomistic Simulations for Additive Manufacturing Alloys
Towards Assurance for Safety-Critical, Machine Learning-enabled Aviation Systems
Autonomy Teaming & TRAjectories for Complex Trusted Operational Reliability: ATTRACTOR