Enhancing cognitive state detection through deep Forest-based electroencephalogram signal analysis and classification.
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| Title: | Enhancing cognitive state detection through deep Forest-based electroencephalogram signal analysis and classification. |
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| Authors: | S, Geetha1, R, Geetha2, geethamariappan.sse@saveetha.com |
| Source: | Journal of Medical Engineering & Technology; Nov2025, Vol. 49 Issue 8, p407-426, 20p |
| 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: 190226445 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing cognitive state detection through deep Forest-based electroencephalogram signal analysis and classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22S%2C+Geetha%22">S, Geetha</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22R%2C+Geetha%22">R, Geetha</searchLink><relatesTo>2</relatesTo>, <i>geethamariappan.sse@saveetha.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Engineering+%26+Technology%22">Journal of Medical Engineering & Technology</searchLink>; Nov2025, Vol. 49 Issue 8, p407-426, 20p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190226445 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03091902.2025.2544802 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 407 Titles: – TitleFull: Enhancing cognitive state detection through deep Forest-based electroencephalogram signal analysis and classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: S, Geetha – PersonEntity: Name: NameFull: R, Geetha IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 03091902 Numbering: – Type: volume Value: 49 – Type: issue Value: 8 Titles: – TitleFull: Journal of Medical Engineering & Technology Type: main |
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