Optimizing multi-sensor systems: A case study of graph-based automatic feature selection.
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| Title: | Optimizing multi-sensor systems: A case study of graph-based automatic feature selection. |
|---|---|
| Authors: | Levin, David1 (AUTHOR) david.levin2@live.biu.ac.il, Singer, Gonen1 (AUTHOR) gonen.singer@biu.ac.il |
| Source: | AIP Conference Proceedings. 2026, Vol. 3381 Issue 1, p1-10. 10p. |
| Database: | Academic Search Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192464647 AccessLevel: 2 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192464647 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1063/5.0308540 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Optimizing multi-sensor systems: A case study of graph-based automatic feature selection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Levin, David – PersonEntity: Name: NameFull: Singer, Gonen IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0094243X Numbering: – Type: volume Value: 3381 – Type: issue Value: 1 Titles: – TitleFull: AIP Conference Proceedings Type: main |
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