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Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
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
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
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
Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
Weather Impact on Airport Arrival Meter Fix Throughput
Prediction of Aircraft Estimated Time of Arrival Using A Supervised Learning Approach