Comparative analysis of deep learning algorithms for seizure detection.
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| Title: | Comparative analysis of deep learning algorithms for seizure detection. |
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| Authors: | Sagga, Dhouha1, saggadhouha@gmail.com, Echtioui, Amira1, Kallel, Fathi1,2 |
| Source: | Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 25, p29351-29370, 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: 186986670 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative analysis of deep learning algorithms for seizure detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sagga%2C+Dhouha%22">Sagga, Dhouha</searchLink><relatesTo>1</relatesTo>, <i>saggadhouha@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Echtioui%2C+Amira%22">Echtioui, Amira</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kallel%2C+Fathi%22">Kallel, Fathi</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2025, Vol. 84 Issue 25, p29351-29370, 20p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186986670 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-20330-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 29351 Titles: – TitleFull: Comparative analysis of deep learning algorithms for seizure detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sagga, Dhouha – PersonEntity: Name: NameFull: Echtioui, Amira – PersonEntity: Name: NameFull: Kallel, Fathi IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 25 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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