Analyzing time and power efficiency of machine learning models on edge devices.
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| Title: | Analyzing time and power efficiency of machine learning models on edge devices. |
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| Authors: | Khdr, Heba1, heba.khdr@kit.edu, Ahmed, Mohamed Aboelenien1, Oğuz, Yiğit1, Henkel, Jörg1 |
| Source: | Analog Integrated Circuits & Signal Processing; Apr2026, Vol. 127 Issue 1, p1-17, 17p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192580074 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=192580074 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10470-026-02580-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Analyzing time and power efficiency of machine learning models on edge devices. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khdr, Heba – PersonEntity: Name: NameFull: Ahmed, Mohamed Aboelenien – PersonEntity: Name: NameFull: Oğuz, Yiğit – PersonEntity: Name: NameFull: Henkel, Jörg IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09251030 Numbering: – Type: volume Value: 127 – Type: issue Value: 1 Titles: – TitleFull: Analog Integrated Circuits & Signal Processing Type: main |
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