Adaptive Knowledge-Driven Optimization for Architecting a Distributed Satellite System
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations
Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records
Clustering Days and Hours with Similar Airport Traffic and Weather Conditions
Data-Driven Performance Assessment and Process Management for Space Situational Awareness
Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference
Detecting train reroutings with process mining
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Improving Rule Mining for Entry, Descent, and Landing Simulations Using Knowledge Graphs
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Predicting the Severity of Runway Excursions from Aviation Safety Reports
Track Clustering Using Fréchet Distance and Minimum Description Length