When is Enough Enough? "Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning. - Megan O. Moore; William H. Clark; R. Michael Buehrer; William C. Headley (IPCCC, 2020)

Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments. - M. R. Williamson; William C. Headley; William H. Clark; Joey McCollum; Thomas Krauss; Lauren O. Lusk; D. Jenkins; T. Villemez; Megan O. Moore; Daniel J. Jakubisin; A. Poetter; Alan J. Michaels; et al. (DySPAN, 2021)

Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features. - J. B. Persons; Lauren J. Wong; Megan O. Moore; William C. Headley; Michael Fowler (MILCOM, 2022)

Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications. - Megan O. Moore; R. Michael Buehrer; William Chris Headley (Sensors, 2022)

Time-Diverse Doppler-only LEO PNT. - Megan O. Moore; R. Michael Buehrer; William C. Headley (MILCOM, 2023)

Approaches Minimizing Geometric Dilution of Precision in Doppler-based Positioning Using LEO Satellites. - Megan O. Moore; R. Michael Buehrer; William C. Headley (DySPAN, 2024)

Analysis of Time-Diverse Doppler-Only LEO PNT. - Megan O. Moore; Mark L. Psiaki; R. Michael Buehrer (PLANS, 2025)