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Bezzout, H., El Faylali, H. (2023) A novel deep learning simulation to predict radon activity concentration in soil layers. Journal of Radioanalytical and Nuclear Chemistry, 332 (2) 457-465 doi:10.1007/s10967-022-08735-x

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Reference TypeJournal (article/letter/editorial)
TitleA novel deep learning simulation to predict radon activity concentration in soil layers
JournalJournal of Radioanalytical and Nuclear Chemistry
AuthorsBezzout, H.Author
El Faylali, H.Author
Year2023 (February)Volume332
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10967-022-08735-xSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID15697915Long-form Identifiermindat:1:5:15697915:5
GUID0
Full ReferenceBezzout, H., El Faylali, H. (2023) A novel deep learning simulation to predict radon activity concentration in soil layers. Journal of Radioanalytical and Nuclear Chemistry, 332 (2) 457-465 doi:10.1007/s10967-022-08735-x
Plain TextBezzout, H., El Faylali, H. (2023) A novel deep learning simulation to predict radon activity concentration in soil layers. Journal of Radioanalytical and Nuclear Chemistry, 332 (2) 457-465 doi:10.1007/s10967-022-08735-x
In(2023, February) Journal of Radioanalytical and Nuclear Chemistry Articles Vol. 332 (2) Springer Science and Business Media LLC

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