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FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis.

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Title: FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis.
Authors: Zhou, Keyi1, koeyzhouky@nuaa.edu.cn, Lu, Ningyun1, luningyun@nuaa.edu.cn, Jiang, Bin1, binjiang@nuaa.edu.cn, Ye, Zhisheng2, yez@nus.edu.sg
Source: Knowledge-Based Systems; Feb2025, Vol. 310, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182605534
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182605534
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.knosys.2025.112982
    Languages:
      – Code: eng
        Text: English
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      – TitleFull: FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis.
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            NameFull: Zhou, Keyi
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            NameFull: Lu, Ningyun
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            NameFull: Jiang, Bin
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              Text: Feb2025
              Type: published
              Y: 2025
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              Value: 09507051
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              Value: 310
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            – TitleFull: Knowledge-Based Systems
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