Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
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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
Optimal Siting of Sub-Urban Air Mobility (sUAM) Ground Architectures using Network Flow Formulation
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
Knowledge Discovery Within ADS-B Data from Routine Helicopter Tour Operations
Impact of Adverse Weather on Commercial Helicopter Pilot Decision-Making and Standard Operating Procedures
Improving Courier Service Network Efficiency through Consolidations
Power optimized battery swap and recharge strategies for electric aircraft operations