The application study of deep learning technology in intelligent power supervision systems.
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| Title: | The application study of deep learning technology in intelligent power supervision systems. |
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| Authors: | Ye, Wang1, Yuan, Jiesheng1, Ye, Huayi1, Chen, Yufeng1, Xie, Ling1, Cai, Dailing1 |
| Source: | International Journal of Low Carbon Technologies; 2025, Vol. 20, p112-118, 7p |
| 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: 190699657 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190699657 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/ijlct/ctae273 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 112 Titles: – TitleFull: The application study of deep learning technology in intelligent power supervision systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ye, Wang – PersonEntity: Name: NameFull: Yuan, Jiesheng – PersonEntity: Name: NameFull: Ye, Huayi – PersonEntity: Name: NameFull: Chen, Yufeng – PersonEntity: Name: NameFull: Xie, Ling – PersonEntity: Name: NameFull: Cai, Dailing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17481317 Numbering: – Type: volume Value: 20 Titles: – TitleFull: International Journal of Low Carbon Technologies Type: main |
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