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- W2938763532 abstract "This study focuses on the development of signature selection methods to identify the unknown spent nuclear fuel samples for nuclear forensic purpose. The study is based on a spent nuclear fuel database established by simulation, with 910 nuclides for each sample. Subsequently, a two-step selection is performed for the nuclides. First, nuclides with little yield or short half-life are abandoned, and then a feature selection method, ReliefF, is used to achieve further selection for different needs of identification, e.g. determination of reactor types, initial enrichment of U-235, and burn-up. According to the results, the proposed method can select different groups of nuclides as signatures to meet the need of identification." @default.
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- W2938763532 date "2019-09-01" @default.
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- W2938763532 title "Signature selection for the identification of unknown spent nuclear fuel samples" @default.
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- W2938763532 doi "https://doi.org/10.1016/j.anucene.2019.04.005" @default.
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