Track Clustering Using Fréchet Distance and Minimum Description Length
Data-Driven Performance Assessment and Process Management for Space Situational Awareness
Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference
Adaptive Knowledge-Driven Optimization for Architecting a Distributed Satellite System
Improved Data-Driven Trajectory Optimization Method Utilizing Deep Trajectory Generation
Improving Rule Mining for Entry, Descent, and Landing Simulations Using Knowledge Graphs
Clustering Days and Hours with Similar Airport Traffic and Weather Conditions