On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
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
Recent efforts in Machine Learning for RANS modelling of separated flows
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Artificial Intelligence Enhancements to Imagery for Space Operations