Theses and Dissertations | Student Graduate Works | Air Force Institute of Technology

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Theses and Dissertations

Theses and Dissertations from the Graduate School of Engineering and Management, Air Force Institute of Technology

Theses/Dissertations from 2023 2023

Pulsed Power Neutron Production with Deuterated Polymer Accelerator Targets, Anthony O. Hagey

An Analysis of Aircraft Maintenance Leading Indicator Metrics to Unit-level Aircraft Availability Rates, William C. Hardy

Hierarchical Federated Learning on Healthcare Data: An Application to Parkinson's Disease, Brandon J. Harvill

Characterizing Location-Based Electromagnetic Leakage of Computing Devices using Convolutional Neural Networks to Increase the Effectiveness of Side-Channel Analysis Attacks, Ian C. Heffron

Method Development Biological Agent Personal Decontamination Effectiveness for Airman Battle Uniform Fabric Material: Ms2 Bacteriophage, Alisha Helm

Transition Analysis of Innovative Technologies into Military Applications, Cristian J. Henandez-Rivera

Introvert Personality Labor: A Unique Theoretical Construct that Describes the Effects of Introverts Existing in The Extrovert Idea, Kathleen S. Hendershott

Human-Machine Teaming Optimization: Creating A Measurement Tool for Operator Trust in Autonomous Systems, Kevin R. Hieronymus

Overall Effectiveness Superposition Theory for a Film Cooled Leading Edge, Bailey W. Hopkins

Angle Resolved Photoelectron Spectroscopy Study of Germanium Tin: Experimentally Determined Electronic Band Gap and Surface Analysis, Jeremy M. Hunter

Evaluating the Chief of Staff of the Air Force 2016 Initiative to Revitalize the Squadron: a Thematic Content Analysis of Appreciative Inquiry Mechanisms, John M. Huntz

Coupling to Quantum Topological Order in Superconducting Qubit Systems, Seth T. Hyra

The Electromagnetic Bayonet: Development of a Scientific Computing Method for Aperture Antenna Optimization, Michael P. Ingold

Climate-informed IDF Curve Updates and Impact on Design Policy, Douglas C. Jaks

Lunar Search and Rescue: The Next Step for Human Spaceflight Recovery, Benjamin J. Johnis

Automated Registration of Titanium Metal Imaging of Aircraft Components Using Deep Learning Techniques, Nathan A. Johnston

Pattern of Life Modeling on Maritime Vessels with Bayesian Inferencing, Miles A. Kelly

Designing a Counter-IADS Drone Swarm: Using Evolution to Evaluate Combat Assumptions Underpinning Drone Swarm Target Assignment, Olin H. Kennedy

Direct Collocation Methods for Comparison of Aerothermodynamic Models Effect on Hypersonic Trajectory Optimization by the Process of Continuation, Noor K. Khan

Bayesian Recurrent Neural Networks for Real Time Object Detection, Stephen Z. Kimatian

Uncertainty Quantification in Federated Learning for Persistent Post-traumatic Headache, Byungmoo Brian Kim

Emitter Selection Optimization for Passive Synthetic Aperture Radar, Mu Kim

Predicting Success of Pilot Training Candidates Using Interpretable Machine Learning, Alexandra S. King

Student Performance in Traditional In-Person Vs. Online Sections of an Introductory Graduate Mathematics Course, Lauran E. Kittle

Advanced Statistical Methodology for the Modern Probability of Detection, Christine E. Knott