Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition.
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| Title: | Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition. |
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| Authors: | Giveki, Davar1, davood.giveki@gmail.com |
| Source: | Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5629-5672, 44p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 189056609 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Giveki%2C+Davar%22">Giveki, Davar</searchLink><relatesTo>1</relatesTo>, <i>davood.giveki@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Dec2025, Vol. 36 Issue 8, p5629-5672, 44p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189056609 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-024-02518-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 44 StartPage: 5629 Titles: – TitleFull: Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Giveki, Davar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 36 – Type: issue Value: 8 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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