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. |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 151318996 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kamiyama%2C+Takashi%22">Kamiyama, Takashi</searchLink><relatesTo>1</relatesTo>, <i>main.horse.hirano@gmail.comtakashik@eng.hokudai.ac.jp</i><br /><searchLink fieldCode="AU" term="%22Hirano%2C+Kazuma%22">Hirano, Kazuma</searchLink><relatesTo>1</relatesTo>, <i>h.sato@eng.hokudai.ac.jp</i><br /><searchLink fieldCode="AU" term="%22Sato%2C+Hirotaka%22">Sato, Hirotaka</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ono%2C+Kanta%22">Ono, Kanta</searchLink><relatesTo>2</relatesTo>, <i>kanta.ono@kek.jp</i><br /><searchLink fieldCode="AU" term="%22Suzuki%2C+Yuta%22">Suzuki, Yuta</searchLink><relatesTo>2</relatesTo>, <i>ysuz@post.kek.jp</i><br /><searchLink fieldCode="AU" term="%22Ito%2C+Daisuke%22">Ito, Daisuke</searchLink><relatesTo>3</relatesTo>, <i>ito.daisuke.5a@kyoto-u.ac.jp</i><br /><searchLink fieldCode="AU" term="%22Saito%2C+Yasushi%22">Saito, Yasushi</searchLink><relatesTo>3</relatesTo>, <i>ysaito@rri.kyoto-u.ac.jp</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jul2021, Vol. 11 Issue 13, p5988, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151318996 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app11135988 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 5988 Titles: – TitleFull: Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kamiyama, Takashi – PersonEntity: Name: NameFull: Hirano, Kazuma – PersonEntity: Name: NameFull: Sato, Hirotaka – PersonEntity: Name: NameFull: Ono, Kanta – PersonEntity: Name: NameFull: Suzuki, Yuta – PersonEntity: Name: NameFull: Ito, Daisuke – PersonEntity: Name: NameFull: Saito, Yasushi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 11 – Type: issue Value: 13 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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