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Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Pretactical Runway Operations Scheduling for Multirunway Airport
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Predicting Abnormal Runway Occupancy Times and Observing Related Precursors
Air Transportation Direct Share Time Series Forecasting: A Hybrid Model
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Unimpeded Taxi-Time Prediction Based on the Node–Link Model
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Mining Airport Runway Configurations from Flight Trajectories
Ground Delay Program Planning Using Markov Decision Processes