Rapid identification of wood species using XRF and neural network machine learning.
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| Title: | Rapid identification of wood species using XRF and neural network machine learning. |
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| Authors: | Shugar, Aaron N.1 shugaran@buffalostate.edu, Drake, B. Lee2, Kelley, Greg3 |
| Source: | Scientific Reports. 9/2/2021, Vol. 11 Issue 1, p1-10. 10p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 152228359 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Rapid identification of wood species using XRF and neural network machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shugar%2C+Aaron+N%2E%22">Shugar, Aaron N.</searchLink><relatesTo>1</relatesTo><i> shugaran@buffalostate.edu</i><br /><searchLink fieldCode="AR" term="%22Drake%2C+B%2E+Lee%22">Drake, B. Lee</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kelley%2C+Greg%22">Kelley, Greg</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 9/2/2021, Vol. 11 Issue 1, p1-10. 10p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=152228359 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-021-96850-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Rapid identification of wood species using XRF and neural network machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shugar, Aaron N. – PersonEntity: Name: NameFull: Drake, B. Lee – PersonEntity: Name: NameFull: Kelley, Greg IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 09 Text: 9/2/2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 11 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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