The Impact of the Accelerometer Sampling Rate on the Performance of Machine and Deep Learning Models in Wearable Fall-Detection Systems.
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| Title: | The Impact of the Accelerometer Sampling Rate on the Performance of Machine and Deep Learning Models in Wearable Fall-Detection Systems. |
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| Authors: | Villa, Manny1,2 (AUTHOR) mvilla2@udi.edu.co, Casilari, Eduardo2 (AUTHOR) |
| Source: | Sensors (14248220). Jan2026, Vol. 26 Issue 1, p162. 19p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190787566 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Impact of the Accelerometer Sampling Rate on the Performance of Machine and Deep Learning Models in Wearable Fall-Detection Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Villa%2C+Manny%22">Villa, Manny</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> mvilla2@udi.edu.co</i><br /><searchLink fieldCode="AR" term="%22Casilari%2C+Eduardo%22">Casilari, Eduardo</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jan2026, Vol. 26 Issue 1, p162. 19p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190787566 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26010162 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 162 Titles: – TitleFull: The Impact of the Accelerometer Sampling Rate on the Performance of Machine and Deep Learning Models in Wearable Fall-Detection Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Villa, Manny – PersonEntity: Name: NameFull: Casilari, Eduardo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: Sensors (14248220) Type: main |
| ResultId | 1 |