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Flughafen
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Mining Airport Runway Configurations from Flight Trajectories
Improved Data-Driven Trajectory Optimization Method Utilizing Deep Trajectory Generation
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
Study on Machine Learning Methods for General Aviation Flight Phase Identification
Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace
Pretactical Runway Operations Scheduling for Multirunway Airport
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Aircraft Landing Distance Prediction: A Multistep Long Short-Term Memory Approach
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Data-Driven Approach Using Machine Learning for Real-Time Flight Path Optimization
Event-Based Air Transport Network Resiliency Management with Meta-Population Epidemic Model
Air Transportation Direct Share Time Series Forecasting: A Hybrid Model
Unimpeded Taxi-Time Prediction Based on the Node–Link Model
Airport Detection for Fixed-Wing Unmanned Aerial Vehicle Landing Using a Hierarchical Architecture