Investigation on eXtreme Gradient Boosting for cutting force prediction in milling.
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| Title: | Investigation on eXtreme Gradient Boosting for cutting force prediction in milling. |
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| Authors: | Heitz, Thomas1, He, Ning1, drnhe@nuaa.edu.cn, Ait-Mlouk, Addi2, addi.ait-mlouk@his.se, Bachrathy, Daniel3, bachrathy@mm.bme.hu, Chen, Ni1, ni.chen@nuaa.edu.cn, Zhao, Guolong1, zhaogl@nuaa.edu.cn, Li, Liang1, liliang@nuaa.edu.cn |
| Source: | Journal of Intelligent Manufacturing; Jan2025, Vol. 36 Issue 1, p285-301, 17p |
| 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: 182077348 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigation on eXtreme Gradient Boosting for cutting force prediction in milling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Heitz%2C+Thomas%22">Heitz, Thomas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22He%2C+Ning%22">He, Ning</searchLink><relatesTo>1</relatesTo>, <i>drnhe@nuaa.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Ait-Mlouk%2C+Addi%22">Ait-Mlouk, Addi</searchLink><relatesTo>2</relatesTo>, <i>addi.ait-mlouk@his.se</i><br /><searchLink fieldCode="AU" term="%22Bachrathy%2C+Daniel%22">Bachrathy, Daniel</searchLink><relatesTo>3</relatesTo>, <i>bachrathy@mm.bme.hu</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Ni%22">Chen, Ni</searchLink><relatesTo>1</relatesTo>, <i>ni.chen@nuaa.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Guolong%22">Zhao, Guolong</searchLink><relatesTo>1</relatesTo>, <i>zhaogl@nuaa.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Liang%22">Li, Liang</searchLink><relatesTo>1</relatesTo>, <i>liliang@nuaa.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Jan2025, Vol. 36 Issue 1, p285-301, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182077348 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-023-02243-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 285 Titles: – TitleFull: Investigation on eXtreme Gradient Boosting for cutting force prediction in milling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Heitz, Thomas – PersonEntity: Name: NameFull: He, Ning – PersonEntity: Name: NameFull: Ait-Mlouk, Addi – PersonEntity: Name: NameFull: Bachrathy, Daniel – PersonEntity: Name: NameFull: Chen, Ni – PersonEntity: Name: NameFull: Zhao, Guolong – PersonEntity: Name: NameFull: Li, Liang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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