Estimating the frequencies of vibration signals using a machine learning algorithm with explained predictions.
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| Title: | Estimating the frequencies of vibration signals using a machine learning algorithm with explained predictions. |
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| Authors: | Burtea, Daniela Giorgiana1,2 daniela.burtea@ubbcluj.ro, Gillich, Gilbert-Rainer2 gilbert.gillich@ubbcluj.ro, Tufisi, Cristian2 tufisi.cristian@ubbcluj.ro |
| Source: | Vibroengineering Procedia. Oct2023, Vol. 51, p160-166. 7p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 173132482 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=asn&AN=173132482 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21595/vp.2023.23678 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 160 Titles: – TitleFull: Estimating the frequencies of vibration signals using a machine learning algorithm with explained predictions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burtea, Daniela Giorgiana – PersonEntity: Name: NameFull: Gillich, Gilbert-Rainer – PersonEntity: Name: NameFull: Tufisi, Cristian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 23450533 Numbering: – Type: volume Value: 51 Titles: – TitleFull: Vibroengineering Procedia Type: main |
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