Mapping the spatial distribution and activity of (226)Ra at legacy sites through Machine Learning interpretation of gamma-ray spectrometry data.

Varley, Adam; Tyler, Andrew; Smith, Leslie; Dale, Paul; Davies, Mike

Varley, Adam; Tyler, Andrew; Smith, Leslie; Dale, Paul; Davies, Mike.

Afiliación

Varley A; Department of Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, United Kingdom. Electronic address: a.l.varley@stir.ac.uk.
Tyler A; Department of Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, United Kingdom.
Smith L; Department of Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, United Kingdom.
Dale P; Scottish Environmental Protection Agency, Radioactive Substances, Strathallan House, Castle Business Park, Stirling FK9 4TZ, United Kingdom.
Davies M; Nuvia Limited, The Library, Eight Street, Harwell Oxford, Didcot, Oxfordshire OX11 0RL, United Kingdom.

Sci Total Environ ; 545-546: 654-61, 2016 Mar 01.

Article en En | MEDLINE | ID: mdl-26795756

Palabras clave

Contamination mapping; Gamma-ray spectrometry; Machine Learning; Radium contaminated land

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2016 Tipo del documento: Article

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