Machine learning approach to packaging compatibility testing in the new product development process.
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| Title: | Machine learning approach to packaging compatibility testing in the new product development process. |
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| Authors: | Piotrowski, Norbert1, norbert.piotrowski@pg.edu.pl |
| Source: | Journal of Intelligent Manufacturing; Mar2024, Vol. 35 Issue 3, p963-975, 13p |
| 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: 175720023 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-023-02090-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 963 Titles: – TitleFull: Machine learning approach to packaging compatibility testing in the new product development process. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Piotrowski, Norbert IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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