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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
Survey of learning control systems for space vehicle applications.
Software Development Cost: How Much? You Sure? Technical Summary
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
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
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Prediction of Weather Impacted Airport Capacity using Ensemble Learning
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
Prediction of Aircraft Estimated Time of Arrival Using A Supervised Learning Approach
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
Mass Inferencing Model Creation And Deployment To Lunar Excavation Robot, RASSOR
Machine Learning in Atomistic Simulations for Additive Manufacturing Alloys
Machine Learning for Exploring Data Streams, with Lessons from the Very Long Baseline Array
Learning classifiers for science event detection in remote sensing imagery
Informing Climate Retrieval Development Using Data Mining or How to Help Scientist Draw Better Lines
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
Hybrid Modeling of Unmanned Aerial Vehicle Electric Powertrain for Fault Detection and Diagnostics
EARLY INFORMATION PARAMETER-SET ANALYSIS FOR SATELLITE CLOSE APPROACHES USING MACHINE LEARNING