Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection.
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| Title: | Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection. |
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| Authors: | Zhao, Tong1 (AUTHOR), Yang, Wei2 (AUTHOR), Yao, Yu1 (AUTHOR) yaoyu@mail.neu.edu.cn |
| Source: | Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3607. 27p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194585584 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Tong%22">Zhao, Tong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Wei%22">Yang, Wei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Yu%22">Yao, Yu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yaoyu@mail.neu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jun2026, Vol. 26 Issue 11, p3607. 27p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194585584 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26113607 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 3607 Titles: – TitleFull: Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, Tong – PersonEntity: Name: NameFull: Yang, Wei – PersonEntity: Name: NameFull: Yao, Yu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 26 – Type: issue Value: 11 Titles: – TitleFull: Sensors (14248220) Type: main |
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