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HOW DO DEEP LEARNING-BASED FACE RECOGNITION SYSTEMS ADDRESS CURRENT CHALLENGES THROUGH DIFFERENT DATA MODALITIES AND EVALUATION APPROACHES.

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Title: HOW DO DEEP LEARNING-BASED FACE RECOGNITION SYSTEMS ADDRESS CURRENT CHALLENGES THROUGH DIFFERENT DATA MODALITIES AND EVALUATION APPROACHES.
Authors: Anarbayeva, Dana1, Meraliyev, Meraryslan
Source: German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft. Apr2026, Issue 127, p123-133. 11p.
Database: Business Source Ultimate
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      – Type: doi
        Value: 10.5281/zenodo.20073907
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 123
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      – TitleFull: HOW DO DEEP LEARNING-BASED FACE RECOGNITION SYSTEMS ADDRESS CURRENT CHALLENGES THROUGH DIFFERENT DATA MODALITIES AND EVALUATION APPROACHES.
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              Text: Apr2026
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              Y: 2026
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              Value: 127
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            – TitleFull: German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft
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