Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
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Air Traffic Flow Identification and Recognition in Terminal Airspace through Machine Learning Approaches
Emergency Planning for Aerial Vehicles by Approximating Risk with Aerial Imagery and Geographic Data
Analysis of Weather-Related Helicopter Accidents and Incidents in the United States
Helicopter Operations Weather Information Survey Dataset
Rotorcraft takeoff analysis and classification to detect outlier operations that could present a safety risk
Machine Learning Enabled Turbulence Prediction Using Flight Data for Safety Analysis
Use of Machine Learning to Create a Database of Wires for Helicopter Wire Strike Prevention
Decision-Making and Optimization Framework for the Design of Emerging Satellite Constellations
Impact of Adverse Weather on Commercial Helicopter Pilot Decision-Making and Standard Operating Procedures
Improving Courier Service Network Efficiency through Consolidations