Search Results - Ghawaly, James M.

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  1. 1
    Explaining machine-learning models for gamma-ray detection and identification

    Explaining machine-learning models for gamma-ray detection and identification by Bandstra, Mark S, Curtis, Joseph C, Ghawaly, Jr, James M, Jones, A Chandler, Joshi, Tenzing H Y

    Published in PloS one
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  2. 2
    SNM Radiation Signature Classification Using Different Semi-Supervised Machine Learning Models

    SNM Radiation Signature Classification Using Different Semi-Supervised Machine Learning Models by Stomps, Jordan R., Wilson, Paul P. H., Dayman, Kenneth J., Willis, Michael J., Ghawaly, James M., Archer, Daniel E.

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  3. 3
    Data for training and testing radiation detection algorithms in an urban environment

    Data for training and testing radiation detection algorithms in an urban environment by Ghawaly, James M., Nicholson, Andrew D., Peplow, Douglas E., Anderson-Cook, Christine M., Myers, Kary L., Archer, Daniel E., Willis, Michael J., Quiter, Brian J.

    Published in Scientific data
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  4. 4
    Generation of Synthetic Data for a Radiation Detection Algorithm Competition

    Generation of Synthetic Data for a Radiation Detection Algorithm Competition by Nicholson, Andrew D., Peplow, Douglas E., Ghawaly, James M., Willis, Michael J., Archer, Daniel E.

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  5. 5
    Localization of a radioactive source in an urban environment using Bayesian Metropolis methods

    Localization of a radioactive source in an urban environment using Bayesian Metropolis methods by Hite, Jason, Mattingly, John, Archer, Dan, Willis, Michael, Rowe, Andrew, Bray, Kayleigh, Carter, Jake, Ghawaly, James

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  6. 6
    Characterization of the Autoencoder Radiation Anomaly Detection (ARAD) model

    Characterization of the Autoencoder Radiation Anomaly Detection (ARAD) model by Ghawaly, James M., Nicholson, Andrew D., Archer, Daniel E., Willis, Michael J., Garishvili, Irakli, Longmire, Brandon, Rowe, Andrew J., Stewart, Ian R., Cook, Matthew T.

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  7. 7
    Explaining machine-learning models for gamma-ray detection and identification

    Explaining machine-learning models for gamma-ray detection and identification by Mark S. Bandstra, Joseph C. Curtis, James M. Ghawaly, A. Chandler Jones, Tenzing H. Y. Joshi

    Published in PloS one
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  8. 8
    Data for training and testing radiation detection algorithms in an urban environment

    Data for training and testing radiation detection algorithms in an urban environment by Ghawaly, James M., Nicholson, Andrew D., Peplow, Douglas E., Anderson-Cook, Christine M., Myers, Kary L., Archer, Daniel E., Willis, Michael J., Quiter, Brian J.

    Published in Scientific data
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