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Aircraft Landing Distance Prediction: A Multistep Long Short-Term Memory Approach
Airport Detection for Fixed-Wing Unmanned Aerial Vehicle Landing Using a Hierarchical Architecture
Air Transportation Direct Share Time Series Forecasting: A Hybrid Model
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Automation Intent Inference Using the GFHMM for Flight Deck Mode Confusion Detection
Branch-and-Bound Global-Search Algorithm for Aircraft Ground Movement Optimization
Clustering Days and Hours with Similar Airport Traffic and Weather Conditions
Data-Driven Approach Using Machine Learning for Real-Time Flight Path Optimization
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution
Event-Based Air Transport Network Resiliency Management with Meta-Population Epidemic Model
Four-Dimensional Aircraft Trajectory Prediction Based on Generative Deep Learning
Greedy-Heuristic-Aided Mixed-Integer Linear Programming Approach for Arrival Scheduling
Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning
Ground Delay Program Planning Using Markov Decision Processes
Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace
Implementing and Validating Air Passenger–Centric Metrics Using Mobile Phone Data
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics