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Network Congestion Control of Airport Surface Operations
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
Improvement of Static Runway Assignment at Busy Airports Using Queueing Model
Optimization Approaches to the Single Airport Ground-Holding Problem
Probabilistic Modeling of Runway Interdeparture Times
Predicting Abnormal Runway Occupancy Times and Observing Related Precursors
Framework for Analyzing Aircraft Community Noise Impacts of Advanced Operational Flight Procedures
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Air Transportation Direct Share Time Series Forecasting: A Hybrid Model
Unimpeded Taxi-Time Prediction Based on the Node–Link Model
Runway Assignments That Minimize Terminal Airspace and Airport Surface Emissions
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Do Wake Vortices Behave Differently Under Non-Lidar-Friendly Weather Conditions?
Mining Airport Runway Configurations from Flight Trajectories
Integrated Surface–Airspace Model of Airport Departures
Ground Delay Program Planning Using Markov Decision Processes
Study on Machine Learning Methods for General Aviation Flight Phase Identification
Delayed Deceleration Approach Noise Impact and Modeling Validation