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Mining Airport Runway Configurations from Flight Trajectories
NASA Air Mobility Pathfinders (AMP) Project Concepts Workshop
Multistep Ahead Taxi-Out Time Prediction Using Long Short-Term Memory Networks
Four-Dimensional Aircraft Trajectory Prediction Based on Generative Deep Learning
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Fuel Flow Rates for Jet-Powered Commercial Aircraft Taxi Operations
Study on Machine Learning Methods for General Aviation Flight Phase Identification
Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace
Sustainability Indices for Airport Sustainability Evaluation
Seamless Passenger Experience for the Airport Environment: Research at DARTeC
Overview of Hydrogen-Powered Air Transportation
Advances in Aero-Propulsive Modeling for Fixed-Wing and eVTOL Aircraft Using Experimental Data
Advances in Aero-Propulsive Modeling for Fixed-Wing and eVTOL Aircraft Using Experimental Data
Analysis of World Practices of Using Liquid Hydrogen as a Motor Fuel for Aviation
Internal Heat Gain in Airport Buildings via Occupants
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Pretactical Runway Operations Scheduling for Multirunway Airport