CNN-based model on potential dyslexia detection based on automated handwriting features extraction

Children with dyslexia have additional difficulties in their academic performance and overall wellbeing. However, dyslexia is still challenging to identify quickly, slowing support and early intervention. This innovation provides a method for dyslexia identification by developing an automated system...

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Bibliographic Details

Main Authors:	Ramlan, Siti Azura, Isa, Iza Sazanita, Ismail, Ahmad Puad, Osman, Muhammad Khusairi, Che Soh, Zainal Hisham
Format:	Article
Language:	en
Published:	Universiti Teknologi MARA, Kedah 2023
Subjects:	Educational technology Learning. Learning strategies Learning ability
Online Access:	https://ir.uitm.edu.my/id/eprint/128103/1/128103.pdf https://ir.uitm.edu.my/id/eprint/128103/ https://ispike.uitm.edu.my
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