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Active learning of constraint boundaries using expected magnitude of incorrectness and neural networks
Atticus Beachy and Ramana V. Grandhi

Hybrid Spiking Convolutional Neural Network (H-SCNN) on AudioMNIST
Ludvig B. Oliver and Kenneth M. Hopkinson

Airfoil Selection Tool Development Using the Cross-Industry Standard Process for Data Mining
Mitchell Scott, Paul Auclair, Torrey J. Wagner, and Brent T. Langhals

A Stackelberg framework for disrupting coordinated, multi-asset routing and sequential servicing of demands
Stephen D. Donnel, Brian J. Lunday, and Nichy T. Boardman

Solar Storm Effects on Quantum Communication Network Performance
Brett M. Martin, Michael K. Seery, Douglas D. Hodson, Torrey J. Wagner, Michael R. Grimaila, Anne Marie Richards, and Wayne McKenzie

MADFACTs: A Meta-learning Augmented Defense Framework for Adversarial Cyber Techniques
Marc Chalé, Bruce A. Cox, Jeffey Weir, and Nathaniel Bastian

Classifying Seismic Events: A Machine Learning Approach to Identifying Earthquakes, Explosions and Other Rare Events
Christopher R. Weed, Torrey J. Wagner, Brent T. Langhals, and Paul Auclair

Cost Estimation of DoD ACAT 1 Software Programs: Statistical Regression vs. Neural Networks
Stephen D. Chatterton, Torrey J. Wagner, Edward D. White, Jonathan D. Ritschel, Michael J. Brown, and Shawn M. Valentine

Residual biological surrogate aerosol risk reduction during disrobing litter-bound manikin patients using two dry air treatments for cold regions
Clayton Garner, Darrah Sleeth, Jeremy Slagley, Kimberly Shoaf, Vera Peters, Faina Feldman, Julie Skipper, Gaiven Varshney, and Doug Lewis

Potential airborne exposure reduction evaluation of first responders to a surrogate radiological aerosol from simulated contaminated litter-bound patients in cold environments after waterless air-based decontamination using a mannequin
Juan S. Alb, Jeremy M. Slagley, Kimberly Shoaf, Vera Peters, Faina Feldman, Julie Skipper, Gaiven Varshney, Doug Lewis, and Brett T. Edwards

Modal vibration modeling of a hemispherical turret in subsonic flow
Timothy J. Bukowski, R. Mark Rennie, Matthew R. Kemnetz, and Stanislav Gordeyev

Tomographic wavefront sensing simulations for wind tunnel measurements
Karl Weisenburger, Charles Buzzard, Charles A. Bouman, and Matthew R. Kemnetz

Four-agent coherent plug & play: physics-constrained deep learning for imaging correction and wavefront sensing in deep turbulence
Casey J. Pellizzari, Adrienne Weaver, Carter Pots, Tyler J. Hardy, Robert Lloyd, and Mark F. Spencer

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Matching two long interferometric pathlengths using low temporal coherence light for finding Hong–Ou–Mandel dip
Keith A. Wyman, Noah S. Everett, and Anil K. Patnaik

Experimental ghost imaging in atmospheric turbulence
Joseph D. Fasone, Keith A. Wyman, Keith A. Wyman, and Anil K. Patnaik

Empirical suppression of line broadening and self-reversal for isotopic analysis of lithium samples using surface-enhanced LIBS
Travis L. Morris and Anil K. Patnaik

Laser-driven fusion and accelerator facility to generate kHz-rate mixed radiation
Benjamin M. Knight, Nathaniel Tamminga, Connor M. Gautam, Scott Feister, Kyle D. Frische, Enam A. Chowdury, Michael L. Dexter, and Anil K. Patnaik

Hybrid Spiking Convolutional Neural Network (H-SCNN) on AudioMNIST
Ludvig B. Oliver and Kenneth M. Hopkinson

Augmented Illumination of Resident Space Objects in Selected Lagrange-Point Orbits via Space-Based Mirrors Conducting Proximity Operations
Alec E. Cook, Robert A. Bettinger, and Jacob A. Dahlke

Preliminary Investigation of Lunar Positioning, Navigation and Timing (PNT) Using Butterfly and Elliptical Frozen Orbits
Kaitlin R. Roberts and Robert A. Bettinger