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Applying Machine Learning Tools for Runway Configuration Decision Support
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
Earth Science Deep Learning: Applications and Lessons Learned
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
Predicting Arrival and Departure Runway Assignments with Machine Learning
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States
Real World Applications of AI/ML in Optimizing Airspace Operations
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Recent efforts in Machine Learning for RANS modelling of separated flows
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
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