Nonparametric Fitting of Aerodynamic Data Using Smoothing Thin-Plate Splines
A Tool for Prediction of Satellite Future States
General Purpose Data-Driven Monitoring for Space Operations
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
Data-Driven Performance Assessment and Process Management for Space Situational Awareness
Track Clustering Using Fréchet Distance and Minimum Description Length
Clustering Days and Hours with Similar Airport Traffic and Weather Conditions
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations
Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records
Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference
Adaptive Knowledge-Driven Optimization for Architecting a Distributed Satellite System
Prediction of Partial Miscibility of Binary Mixtures Consisting of Ionic Liquids
Pattern Search Algorithm for Blackboard-Based Multidisciplinary Design Optimization Frameworks
Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics
Data-Mining Approach to Poincaré Maps in Multi-Body Trajectory Design
Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics