A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition
| Title: | A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition |
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| Authors: | Guo, Shenghan, Guo, Weihong, Bian, Linkan, Guo, Y. B. |
| Source: | IEEE transactions on automation science and engineering. 20(1):482-494 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 482 Titles: – TitleFull: A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guo, Shenghan – PersonEntity: Name: NameFull: Guo, Weihong – PersonEntity: Name: NameFull: Bian, Linkan – PersonEntity: Name: NameFull: Guo, Y. B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 15455955 – Type: issn-locals Value: edsbl.Periodical Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: IEEE transactions on automation science and engineering Type: main |
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