Deep learning based RAGAE-SVM for Chronic kidney disease diagnosis on internet of health things platform.
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| Title: | Deep learning based RAGAE-SVM for Chronic kidney disease diagnosis on internet of health things platform. |
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| Authors: | Kandukuri, Prabhakar1, prabhakarcs@gmail.com, Abdul, Ashu2, ashu.a507@gmail.com, Kumar, Kuchipudi Prasanth3, kprashanth510@gmail.com, Sreenivas, Velagapudi4, velagapudisreenivas@gmail.com, Ramesh, G.5, ramesh680@gmail.com, Gundu, Venkateswarlu6, psv2482109@gmail.com |
| Source: | Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 20, p22853-22891, 39p |
| 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: 186337318 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning based RAGAE-SVM for Chronic kidney disease diagnosis on internet of health things platform. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kandukuri%2C+Prabhakar%22">Kandukuri, Prabhakar</searchLink><relatesTo>1</relatesTo>, <i>prabhakarcs@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Abdul%2C+Ashu%22">Abdul, Ashu</searchLink><relatesTo>2</relatesTo>, <i>ashu.a507@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Kuchipudi+Prasanth%22">Kumar, Kuchipudi Prasanth</searchLink><relatesTo>3</relatesTo>, <i>kprashanth510@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Sreenivas%2C+Velagapudi%22">Sreenivas, Velagapudi</searchLink><relatesTo>4</relatesTo>, <i>velagapudisreenivas@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ramesh%2C+G%2E%22">Ramesh, G.</searchLink><relatesTo>5</relatesTo>, <i>ramesh680@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Gundu%2C+Venkateswarlu%22">Gundu, Venkateswarlu</searchLink><relatesTo>6</relatesTo>, <i>psv2482109@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jun2025, Vol. 84 Issue 20, p22853-22891, 39p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186337318 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-19926-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 39 StartPage: 22853 Titles: – TitleFull: Deep learning based RAGAE-SVM for Chronic kidney disease diagnosis on internet of health things platform. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kandukuri, Prabhakar – PersonEntity: Name: NameFull: Abdul, Ashu – PersonEntity: Name: NameFull: Kumar, Kuchipudi Prasanth – PersonEntity: Name: NameFull: Sreenivas, Velagapudi – PersonEntity: Name: NameFull: Ramesh, G. – PersonEntity: Name: NameFull: Gundu, Venkateswarlu IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 20 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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