DeepEmoNet: A Lightweight Context-Aware CNN for Multimodal Emotion Recognition.
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| Title: | DeepEmoNet: A Lightweight Context-Aware CNN for Multimodal Emotion Recognition. |
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| Authors: | Jakhete, Sumitra A.1,2, sumeetra.kasat@gmail.com, Kulkarni, Nilima1, nilima.amrita@gmail.com |
| Source: | Engineering, Technology & Applied Science Research; Apr2026, Vol. 16 Issue 2, p32844-32854, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DeepEmoNet: A Lightweight Context-Aware CNN for Multimodal Emotion Recognition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jakhete%2C+Sumitra+A%2E%22">Jakhete, Sumitra A.</searchLink><relatesTo>1,2</relatesTo>, <i>sumeetra.kasat@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kulkarni%2C+Nilima%22">Kulkarni, Nilima</searchLink><relatesTo>1</relatesTo>, <i>nilima.amrita@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Apr2026, Vol. 16 Issue 2, p32844-32854, 11p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194189185 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.15258 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 32844 Titles: – TitleFull: DeepEmoNet: A Lightweight Context-Aware CNN for Multimodal Emotion Recognition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jakhete, Sumitra A. – PersonEntity: Name: NameFull: Kulkarni, Nilima IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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