Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
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Uncertainty-Based Methodology for the Development of Space Domain Awareness Architectures in Three-Body Regimes
SPAAD: A Systems Design Methodology for Product and Analysis Architecture Decomposition
A Multi-Objective Deep Learning Methodology for Morphing Wings
An Approach for Risk-Informed UAS Mission Planning in Urban Environments to Support First Responders
Autonomous and Robust Monocular Simultaneous Localization and Mapping-Based Navigation for Robotic Operations in Space
A Data-driven Methodology for Aircraft Trajectory Analysis to Improve Mid-air Conflict Detection in Terminal Airspace
Direct and Large-Eddy Simulations of Spatially Evolving Supercritical Turbulent Shear Layers
Permuted proper orthogonal decomposition for analysis of advecting structures
Volatile molecular species and their role in planetary surface morphology and spacecraft design and performance
Modeling and Simulation of Flow Transients inside a Multi-Stage Axial-Centrifugal Compressor
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