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Predicting the Severity of Runway Excursions from Aviation Safety Reports
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations
Detecting train reroutings with process mining
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics
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