A Hybrid JavaScript-WebAssembly Framework for Efficient Deep Learning Inference in Web Browsers.
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| Title: | A Hybrid JavaScript-WebAssembly Framework for Efficient Deep Learning Inference in Web Browsers. |
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| Authors: | Lee, Chaeeun1, Jeon, Sanghoon1, eundery@naver.comshjeon@suwon.ac.kr |
| Source: | KSII Transactions on Internet & Information Systems; Jan2026, Vol. 20 Issue 1, p243-264, 22p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191281816 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191281816 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3837/tiis.2026.01.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 243 Titles: – TitleFull: A Hybrid JavaScript-WebAssembly Framework for Efficient Deep Learning Inference in Web Browsers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee, Chaeeun – PersonEntity: Name: NameFull: Jeon, Sanghoon IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19767277 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: KSII Transactions on Internet & Information Systems Type: main |
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