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DEVELOPMENT OF A HYBRID CNN-RNN MODEL FOR ENHANCED RECOGNITION OF DYNAMIC GESTURES IN KAZAKH SIGN LANGUAGE.

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Title: DEVELOPMENT OF A HYBRID CNN-RNN MODEL FOR ENHANCED RECOGNITION OF DYNAMIC GESTURES IN KAZAKH SIGN LANGUAGE.
Authors: Aitim, Aigerim1, Sattarkhuzhayeva, Dariga2, sattarkhuzhaevadariga@gmail.com, Khairullayeva, Aisulu2
Source: Eastern-European Journal of Enterprise Technologies; 2025, Vol. 2 Issue 2(134), p58-67, 10p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: DEVELOPMENT OF A HYBRID CNN-RNN MODEL FOR ENHANCED RECOGNITION OF DYNAMIC GESTURES IN KAZAKH SIGN LANGUAGE.
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  Data: <searchLink fieldCode="JN" term="%22Eastern-European+Journal+of+Enterprise+Technologies%22">Eastern-European Journal of Enterprise Technologies</searchLink>; 2025, Vol. 2 Issue 2(134), p58-67, 10p
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      – Type: doi
        Value: 10.15587/1729-4061.2025.315834
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 58
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      – TitleFull: DEVELOPMENT OF A HYBRID CNN-RNN MODEL FOR ENHANCED RECOGNITION OF DYNAMIC GESTURES IN KAZAKH SIGN LANGUAGE.
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            NameFull: Aitim, Aigerim
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            NameFull: Sattarkhuzhayeva, Dariga
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            NameFull: Khairullayeva, Aisulu
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              Text: 2025
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              Value: 2
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              Value: 2(134)
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            – TitleFull: Eastern-European Journal of Enterprise Technologies
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