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Daniel Pereira

Government of the United States of America - Los Alamos National Laboratory

Los Alamos, NM 87545

United States

  • Government of the United States of America - Los Alamos National Laboratory

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Convolutional Neural Networks for Accurate and Robust Noninvasive Pressure Measurements in Sealed Systems

Number of pages: 18 Posted: 20 Mar 2025
Daniel Pereira, Milo Prisbrey, eric davis, Pavel Vakhlamov, Craig Chavez, Abihshek Saini, Cristian Pantea and John Greenhall
Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory and Government of the United States of America - Los Alamos National Laboratory
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convolutional Neural network, Acoustic Resonance Spectroscopy, K-Nearest Neighbors, peak tracking