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On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
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
A 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
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
Real World Applications of AI/ML in Optimizing Airspace Operations
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Artificial Intelligence Enhancements to Imagery for Space Operations
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Lessons Learned in the Application of Machine Learning Techniques to Air Traffic Management
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques