Application of Supervised Machine Learning to Search for Nuclear Fallout Analytes that Identify Explosive Type.

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dc.contributor.advisorJohn Mattingly, Chair
dc.contributor.advisorAlexander Bataller, Member
dc.contributor.advisorMohamed Bourham, Member
dc.contributor.authorRisenmay, Matthew Allan
dc.date.accepted2023-02-08
dc.date.accessioned2023-02-09T13:30:16Z
dc.date.available2023-02-09T13:30:16Z
dc.date.defense2022-12-08
dc.date.issued2022-12-08
dc.date.released2023-02-09
dc.date.reviewed2023-01-05
dc.date.submitted2022-12-14
dc.degree.disciplineNuclear Engineering
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.identifier.otherdeg31839
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40266
dc.titleApplication of Supervised Machine Learning to Search for Nuclear Fallout Analytes that Identify Explosive Type.

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