This collection on AFIT Scholar presents scholarly works of the faculty of the Air Force Institute of Technology
The Faculty Publications collection accepts scholarly works that are developed under the auspices of AFIT, and accepted for publication in a journal, or for presentation at a conference. All submissions should be approved for public release before submitting to AFIT Scholar
Secondary materials may be submitted along with an article or conference paper, for the purpose of experimental result repeatability.
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Submissions from 2021
Understanding Flow Characteristics in Metal Additive Manufacturing, Carl R. Hartsfield, Travis E. Shelton, Gregory R. Cobb, Ryan A. Kemnitz, and Joseph Weber
Aggregated space combat modeling, Dustin Hayhurst, John M. Colombi, and David W. Meyer
Hypersonic N2 boundary layer flow velocity profile measurements using FLEET, Jonathan L. Hill, Paul S. Hsu, Naibo Jiang, Stephen W. Grib, Sukesh Roy, Matthew Borg, Levi M. Thomas, Mark F. Reeder, and Stephen A. Schumaker
Optically Active Selenium Vacancies in BaGa4Se7 Crystals, Brian C. Holloway, Timothy D. Gustafson, Christopher A. Lenyk, Nancy C. Giles, Kevin T. Zawilski, Peter G. Schunemann, Kent L. Averett, and Larry E. Halliburton
Acceleration of Boltzmann Collision Integral Calculation Using Machine Learning, Ian Holloway, Aihua W. Wood, and Alexander Alekseenko
Impact of Neutron Energy on Asteroid Deflection Performance, Lansing S. Horan IV, Darren E. Holland, Megan Bruck Syal, James E. Bevins, and Joseph W. Wasem
Analysis of the Effects of Spatiotemporal Demand Data Aggregation Methods on Distance and Volume Errors, Zachary Hornberger, Bruce A. Cox, and Raymond R. Hill
The Multiple shortest path problem with path deconfliction, Michael S. Hughes, Brian J. Lunday, Jeffery D. Weir, and Kenneth M. Hopkinson
Towards More Robust Vision-based Map Matching Through Machine Learning & Improved Feature Matching, Tyler Hussey, Robert C. Leishman, and David Woodburn
Independently Controlling Stochastic Field Realization Magnitude and Phase Statistics for the Construction of Novel Partially Coherent Sources, Milo W. Hyde IV
Spatiotemporal Non-uniformly Correlated Beams, Milo W. Hyde IV
Twisted Spatiotemporal Optical Vortex Random Fields, Milo W. Hyde IV
Evaporator Disturbance Rejection in Vapor Compression Cycles with a Linear Quadratic Regulator, Sunderlin D. Jackson, Anthony N. Palazotto, Meir Pachter, and Nicholas Niedbalski
Shortest Path Network Problems with Stochastic Arc Weights, Jeremy D. Jordan and Stan Uryasev
External Dose to Recovery Teams Following a Wide-area Nuclear or Radiological Release Event, Michael D. Kaminski, Keith Sanders, Katherine Kepler, Matthew Magnuson, and Jeremy M. Slagley
The Effects of Individual Differences, Non‐Stationarity, and The Importance of Data Partitioning Decisions for Training and Testing of EEG Cross‐Participant Models, Alexander J. Kamrud, Brett J. Borghetti, and Christine M. Schubert Kabban
Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks, Alexander J. Kamrud, Brett J. Borghetti, Christine M. Schubert Kabban, and Michael E. Miller
A Survey of Decision Making and Optimization under Uncertainty, Andrew J. Keith and Darryl K. Ahner
ZynQ System-on-chip DMA Messaging for Processor Monitoring, Daniel F. Koranek, Douglas D. Hodson, and Scott R. Graham
Multi-Gaussian Random Variables for Modeling Optical Phenomena, Olga Korotkova and Milo W. Hyde IV
Strengthening Criteria Independence through Optimization of Alternative Value Ratio Comparisons, Joseph P. Kristbaum and Frank W. Ciarallo
Predicting Asset Degradation with Data-Driven Models, Kurt R. Lamm, Justin D. Delorit, and Steven J. Schuldt
Two-Dimensional Steady Boussinesq Convection: Existence, Computation and Scaling, Jeremiah S. Lane and Benjamin F. Akers
Towards dynamically shifting cyber terrain with software-defined networking and moving target defense, Robert D. Larkin, Steven J. Jensen, Daniel Koranek, Barry E. Mullins, and Mark G. Reith
Stochastic Preemptive Goal Programming to Balance Goal Achievements under Uncertainty, Matthew C. Ledwith, Brandon J. Hufstetler, and Mark A. Gallagher