[PDF][PDF] Characterization of high background radiation of terrestrial naturally occurring radionuclides in a mining region of Senegal.
ML Sane, M Mbaye, D Dione… - AIMS Environmental …, 2019 - aimspress.com
ML Sane, M Mbaye, D Dione, A Wague
AIMS Environmental Science, 2019•aimspress.com… Abstract: A survey of natural radioactivity has been carried out to estimate the
concentration of naturally occurring radionuclides and radiological risk associated in the
south East mining region, which present high natural background radiation. An in-situ
gamma-ray spectrometer was used to map … In addition, we report the results of the utility
of inferential statistical, principal component analysis and a supervised support vector
machine learning for accurate fingerprinting of naturally occurring radionuclides sources …
concentration of naturally occurring radionuclides and radiological risk associated in the
south East mining region, which present high natural background radiation. An in-situ
gamma-ray spectrometer was used to map … In addition, we report the results of the utility
of inferential statistical, principal component analysis and a supervised support vector
machine learning for accurate fingerprinting of naturally occurring radionuclides sources …
AIMS Environmental Science, 6 (6): 472–482. DOI: 10.3934/environsci. 2019.6. 472 Received: 31 August 2019 Accepted: 20 November 2019 Published: 04 December 2019 http://www. aimspress. com/journal/environmental
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