Inference runtime of a neural network to detect atrial fibrillation on customized RISC-V-based hardware.
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| Title: | Inference runtime of a neural network to detect atrial fibrillation on customized RISC-V-based hardware. |
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| Source: | Current Directions in Biomedical Engineering; Aug2022, Vol. 8 Issue 2, p703-706, 4p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 158878218 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Inference runtime of a neural network to detect atrial fibrillation on customized RISC-V-based hardware. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Current+Directions+in+Biomedical+Engineering%22">Current Directions in Biomedical Engineering</searchLink>; Aug2022, Vol. 8 Issue 2, p703-706, 4p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158878218 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1515/cdbme-2022-1179 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 703 Titles: – TitleFull: Inference runtime of a neural network to detect atrial fibrillation on customized RISC-V-based hardware. Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 23645504 Numbering: – Type: volume Value: 8 – Type: issue Value: 2 Titles: – TitleFull: Current Directions in Biomedical Engineering Type: main |
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