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Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
Conceptual Design for Deflecting a Potentially Hazardous Asteroid with a Space Duster
Predicting the Severity of Runway Excursions from Aviation Safety Reports
Adaptive Knowledge-Driven Optimization for Architecting a Distributed Satellite System
Pattern Search Algorithm for Blackboard-Based Multidisciplinary Design Optimization Frameworks
Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis
Track Clustering Using Fréchet Distance and Minimum Description Length
Probabilistic REpresentatives Mining (PREM): A Clustering Method for Distributional Data Reduction
Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records
Design Rule Extraction Using Multi-Fidelity Surrogate Model for Unmanned Combat Aerial Vehicles
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations
Improved Data-Driven Trajectory Optimization Method Utilizing Deep Trajectory Generation
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference
Improving Rule Mining for Entry, Descent, and Landing Simulations Using Knowledge Graphs
Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics