Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
Flight Operations Quality Assurance Based on Clustering Analysis
A Hybrid Macro-Micro Pedestrians Evacuation Model to Speed Up Simulation in Road Networks
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations
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
Spatial Cluster Analysis of Bursting Pipes in Water Supply Networks
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
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