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Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
Earth Science Deep Learning: Applications and Lessons Learned
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States
Real World Applications of AI/ML in Optimizing Airspace Operations
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
Recent efforts in Machine Learning for RANS modelling of separated flows
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid
Artificial Intelligence Enhancements to Imagery for Space Operations
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
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