Enhanced Early Detection of Epileptic Seizures Through Advanced Line Spectral Estimation and XGBoost Machine Learning †.
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| Title: | Enhanced Early Detection of Epileptic Seizures Through Advanced Line Spectral Estimation and XGBoost Machine Learning †. |
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| Authors: | Krishna, K. Rama1, Shabarinath, B. B.1, shabarinath_bb@vnrvjiet.in |
| Source: | Computer Sciences & Mathematics Forum; 2025, Vol. 12 Issue 1, p4, 8p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192783953 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhanced Early Detection of Epileptic Seizures Through Advanced Line Spectral Estimation and XGBoost Machine Learning †. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Krishna%2C+K%2E+Rama%22">Krishna, K. Rama</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Shabarinath%2C+B%2E+B%2E%22">Shabarinath, B. B.</searchLink><relatesTo>1</relatesTo>, <i>shabarinath_bb@vnrvjiet.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Sciences+%26+Mathematics+Forum%22">Computer Sciences & Mathematics Forum</searchLink>; 2025, Vol. 12 Issue 1, p4, 8p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192783953 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/cmsf2025012004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 4 Titles: – TitleFull: Enhanced Early Detection of Epileptic Seizures Through Advanced Line Spectral Estimation and XGBoost Machine Learning †. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Krishna, K. Rama – PersonEntity: Name: NameFull: Shabarinath, B. B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 28130324 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Computer Sciences & Mathematics Forum Type: main |
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