Applying Monte Carlo and artificial intelligence techniques for U-235 mass prediction in samples with different enrichments | Health & Environmental Research Online (HERO)

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HERO ID

5075545

Reference Type

Journal Article

Title

Applying Monte Carlo and artificial intelligence techniques for U-235 mass prediction in samples with different enrichments

Author(s)

Shaban, SE; Hazzaa, MH; El-Tayebany, RA

Year

2019

Is Peer Reviewed?

Journal

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
ISSN: 0168-9002

Volume

916

Page Numbers

322-326

DOI

Web of Science Id

WOS:000455016800042

Keywords

Monte Carlo; Artificial intelligence; Count rate; U-235 mass; HPGe detector