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Flughafen
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Pretactical Runway Operations Scheduling for Multirunway Airport
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
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
Study on Machine Learning Methods for General Aviation Flight Phase Identification
Airport Detection for Fixed-Wing Unmanned Aerial Vehicle Landing Using a Hierarchical Architecture
Implementing and Validating Air Passenger–Centric Metrics Using Mobile Phone Data
Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace
Improved Data-Driven Trajectory Optimization Method Utilizing Deep Trajectory Generation
Four-Dimensional Aircraft Trajectory Prediction Based on Generative Deep Learning
Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution
Multistep Ahead Taxi-Out Time Prediction Using Long Short-Term Memory Networks
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics