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DyslexiaNet: Examining the Viability and Efficacy of Eye Movement-Based Deep Learning for Dyslexia Detection.

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Title: DyslexiaNet: Examining the Viability and Efficacy of Eye Movement-Based Deep Learning for Dyslexia Detection.
Authors: İleri, Ramis1 (AUTHOR), Altıntop, Çiğdem Gülüzar1,2 (AUTHOR), Latifoğlu, Fatma1 (AUTHOR), Demirci, Esra2 (AUTHOR)
Source: Journal of Eye Movement Research. Oct2025, Vol. 18 Issue 5, p56. 26p.
Database: Academic Search Ultimate
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  Data: DyslexiaNet: Examining the Viability and Efficacy of Eye Movement-Based Deep Learning for Dyslexia Detection.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Eye+Movement+Research%22">Journal of Eye Movement Research</searchLink>. Oct2025, Vol. 18 Issue 5, p56. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188986483
RecordInfo BibRecord:
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        Value: 10.3390/jemr18050056
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      – Code: eng
        Text: English
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        PageCount: 26
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      – TitleFull: DyslexiaNet: Examining the Viability and Efficacy of Eye Movement-Based Deep Learning for Dyslexia Detection.
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            NameFull: Altıntop, Çiğdem Gülüzar
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              Text: Oct2025
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              Y: 2025
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              Value: 18
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