Comparing CNN-based Architectures for Dysgraphia Handwriting Classification Performance

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Comparing CNN-based Architectures for Dysgraphia Handwriting Classification Performance

Deep learning algorithms are increasingly being used to diagnose dysgraphia by concentrating on the issue of uneven handwriting characteristics, which is common among children in the early stage of basic learning of reading and writing skills. Convolutional Neural Network (CNN) is a deep learning mo...

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Bibliographic Details
Published in:	Pertanika Journal of Science and Technology
Main Author:	Ramlan S.A.; Isa I.S.; Osman M.K.; Ismail A.P.; Soh Z.H.C.
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202960594&doi=10.47836%2fpjst.32.5.05&partnerID=40&md5=91e5adfa60df8a743846add88dfebdf7

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