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Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Unimpeded Taxi-Time Prediction Based on the Node–Link Model
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Systematic Visualization Suite for En Route Air Traffic Flows and Flight Encounters
Study on Machine Learning Methods for General Aviation Flight Phase Identification
Pretactical Runway Operations Scheduling for Multirunway Airport
Predicting Abnormal Runway Occupancy Times and Observing Related Precursors
Optimal Traffic Flow Scheduling Using High-Performance Computing
Mining Airport Runway Configurations from Flight Trajectories
Infrared Target Detection and Recognition Method in Airborne Photoelectric System
Incremental-Learning-Based Unsupervised Anomaly Detection Algorithm for Terminal Airspace Operations
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Implementing and Validating Air Passenger–Centric Metrics Using Mobile Phone Data
Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace
Ground Delay Program Planning Using Markov Decision Processes
Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning
Greedy-Heuristic-Aided Mixed-Integer Linear Programming Approach for Arrival Scheduling
Four-Dimensional Aircraft Trajectory Prediction Based on Generative Deep Learning
Event-Based Air Transport Network Resiliency Management with Meta-Population Epidemic Model
Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution