Using Machine Learning to Quantifying the Spread and Identification of Aquatic Species in a Water Body in Northeast Louisiana.
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| Title: | Using Machine Learning to Quantifying the Spread and Identification of Aquatic Species in a Water Body in Northeast Louisiana. |
|---|---|
| Authors: | Sapkota, Subash1 sapkotasu@warhawks.ulm.edu, Bhattacharjee, Joydeep1 sapkotasu4344@gmail.com |
| Source: | Bios (0005-3155). 2026, Vol. 97 Issue 1, p28-36. 9p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192680560 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using Machine Learning to Quantifying the Spread and Identification of Aquatic Species in a Water Body in Northeast Louisiana. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sapkota%2C+Subash%22">Sapkota, Subash</searchLink><relatesTo>1</relatesTo><i> sapkotasu@warhawks.ulm.edu</i><br /><searchLink fieldCode="AR" term="%22Bhattacharjee%2C+Joydeep%22">Bhattacharjee, Joydeep</searchLink><relatesTo>1</relatesTo><i> sapkotasu4344@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Bios+%280005-3155%29%22">Bios (0005-3155)</searchLink>. 2026, Vol. 97 Issue 1, p28-36. 9p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192680560 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1893/BIOS-D-25-00006 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 28 Titles: – TitleFull: Using Machine Learning to Quantifying the Spread and Identification of Aquatic Species in a Water Body in Northeast Louisiana. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sapkota, Subash – PersonEntity: Name: NameFull: Bhattacharjee, Joydeep IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00053155 Numbering: – Type: volume Value: 97 – Type: issue Value: 1 Titles: – TitleFull: Bios (0005-3155) Type: main |
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