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Deep Learning‐Driven Assessment of Student Movement and Performance Using Physiological Data in Physical Education Information Systems: An S‐AIoT Solution.

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Title: Deep Learning‐Driven Assessment of Student Movement and Performance Using Physiological Data in Physical Education Information Systems: An S‐AIoT Solution.
Authors: Liu, Ping1, Dastbaravardeh, Elaheh2, dastbaravardeh.elahe@gmail.com, Khosravi, Mohamadreza
Source: International Journal of Intelligent Systems; 9/26/2025, Vol. 2025, p1-22, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188296277
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Deep Learning‐Driven Assessment of Student Movement and Performance Using Physiological Data in Physical Education Information Systems: An S‐AIoT Solution.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188296277
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        Value: 10.1155/int/9479311
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: Deep Learning‐Driven Assessment of Student Movement and Performance Using Physiological Data in Physical Education Information Systems: An S‐AIoT Solution.
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              Text: 9/26/2025
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              Y: 2025
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