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Enhancing Human Activity Recognition (HAR) via Semi-Adaptive Sliding Windows with Triplet Subwindow Similarity and Growth Capping.

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Title: Enhancing Human Activity Recognition (HAR) via Semi-Adaptive Sliding Windows with Triplet Subwindow Similarity and Growth Capping.
Authors: Liandana, Made1, liandana@stikom-bali.ac.id, Pradipta, Gede Angga2, Wulaning Ayu, Putu Desiana3, Hostiadi, Dandy Pramana2
Source: International Journal of Technology; 2026, Vol. 17 Issue 3, p990-1011, 22p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology%22">International Journal of Technology</searchLink>; 2026, Vol. 17 Issue 3, p990-1011, 22p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.14716/ijtech.v17i3.8295
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 990
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      – TitleFull: Enhancing Human Activity Recognition (HAR) via Semi-Adaptive Sliding Windows with Triplet Subwindow Similarity and Growth Capping.
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            NameFull: Pradipta, Gede Angga
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            NameFull: Wulaning Ayu, Putu Desiana
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 17
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