Theses and Dissertations from the Graduate School of Engineering and Management, Air Force Institute of Technology
Theses/Dissertations from 2022
Effects of Cone Tip Changes On Wall-Cooled Hypersonic Boundary Layer Transition and Turbulence, Mathew M. Major
Evaluating Neural Network Decoder Performance for Quantum Error Correction Using Various Data Generation Models, Brett M. Martin
A Post-disaster Construction Portfolio Optimization Framework for Tyndall AFB Rebuild Post Hurricane Michael, Andre J. May
Using Generative Adversarial Networks to Augment Unmanned Aerial Vehicle Image Classification Training Sets, Benjamin J. McCloskey
Persistence and Mitigation of PFAS within Concrete Stormwater Drainage Infrastructure, Jason R. McDonald
Magnetic Anomaly Absolute Positioning for Hypersonic Aircraft, Alexander J. McNeil
Number of Authorized Suppliers and Supplier Delivery Performance, Beau D. Messenger
Life Cycle Analysis of Hydrogen Fuel Derived from Aluminum Versus Diesel, Tyson S. Metlen
Geometric Generation Through the Merginh of SYsML, and Engineering Sketch Pad, Alexander J. Miesle
Finite Fatigue Life Prediction of Additively Manufactured Aircraft Engine Turbine Blade with Respect to Internal Defect Size and Location, Daniel G. Miller
Investigation into Engineering Change Order Costs and Appropriate Rules-of-thumb, Kaiana M. Miller
Bayesian Convolutional Neural Network with Prediction Smoothing and Adversarial Class Thresholds, Noah M. Miller
A United States Air Force Site Selection Methodology in a Contested Agile Combat Employment Environment, Zachary T. Moer
Feasibility of Fireball Trail Detection Using Ground-Based GPS Receivers, Ian R. Moffett
Multiagent Routing Problem with Dynamic Target Arrivals Solved via Approximate Dynamic Programming, Andrew E. Mogan
Automated Reconstructions for the Digital Forensic Examiner Workflow, Ryan P. Montgomery
Team Air Combat using Model-based Reinforcement Learning, David A. Mottice
Evaluating the use of Boot Image Encryption on Talos II Architecture, Calvin M. Muramoto
Deep Learning Techniques To Estimate 3D Position In Stereoscopic Imagery, Jonathan I. Nicholson
Determination of Nonlinear Optical Properties for Gallium Arsenide Phosphide Ternary Compounds and for Tin Thiohypodiphosphate, Peter F. Norris
Exploring the Value of Training System Alternatives Through Methods Technologies, and Relevant Attributes, Brian R. Novitsky
An Exploratory Analysis of Time Series Econometric Data for Retention Forecasting using Deep Learning, John C. O'Donnell
Efficiency Quantification for Pulsed-source Digital Holographic Wavefront Sensing, Steven A. Owens