Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis.

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Title: Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis.
Authors: Kamiyama, Takashi1, main.horse.hirano@gmail.comtakashik@eng.hokudai.ac.jp, Hirano, Kazuma1, h.sato@eng.hokudai.ac.jp, Sato, Hirotaka1, Ono, Kanta2, kanta.ono@kek.jp, Suzuki, Yuta2, ysuz@post.kek.jp, Ito, Daisuke3, ito.daisuke.5a@kyoto-u.ac.jp, Saito, Yasushi3, ysaito@rri.kyoto-u.ac.jp
Source: Applied Sciences (2076-3417); Jul2021, Vol. 11 Issue 13, p5988, 16p
Database: Applied Science & Technology Source
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  Data: Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151318996
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        Value: 10.3390/app11135988
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        Text: English
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        StartPage: 5988
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      – TitleFull: Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis.
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              M: 07
              Text: Jul2021
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              Y: 2021
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