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Spectrum-based anomaly detection using channel state information and attention mechanisms for elderly health monitoring.

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Title: Spectrum-based anomaly detection using channel state information and attention mechanisms for elderly health monitoring.
Authors: Hussain, Abid1, abid7787@mail.ustc.edu.cn, Zhu, Xiaoqiang2, xqzhu@bjtu.edu.cn, Sihai, Zhang3, shzhang@ustc.edu.cn, Lin, Fujiang1, linfj@ustc.edu.cn
Source: Engineering Applications of Artificial Intelligence; Feb2026:Part A, Vol. 166, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191005849
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; Feb2026:Part A, Vol. 166, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191005849
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2025.113583
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Spectrum-based anomaly detection using channel state information and attention mechanisms for elderly health monitoring.
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            NameFull: Hussain, Abid
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            NameFull: Zhu, Xiaoqiang
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            NameFull: Sihai, Zhang
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              Text: Feb2026:Part A
              Type: published
              Y: 2026
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              Value: 166
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            – TitleFull: Engineering Applications of Artificial Intelligence
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