Classification of Geometric Shape Drawings by Using SVM and CNN Models-Reference-Cited by-同舟云学术

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Classification of Geometric Shape Drawings by Using SVM and CNN Models

Published:2023-12-13 Issue: Volume:12 Page:154-158
ISSN:
Container-title:2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
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Author:

Rustie Yurridho¹,Gunawan Putu Harry¹,Indwiarti Indwiarti¹,Kurniawan Wandi Yusuf¹,Gede Karang Komala Putra I²,Reganata Gde Palguna²,Kadek Winda Patrianingsih Ni²,Wahyu Surya Dharma I Gede²,Kadek Arya Sugianta I²,Udhayana Hr Khadijah F. R.²,Dwi Hendratama Gunawan Kadek³,Aquarini Narita⁴

Affiliation:

1. School of Computing Telkom University,Bandung,Indonesia

2. Universitas Bali Internasional,Informatics Department,Denpasar,Indonesia

3. Komputerisasi Akuntansi Politeknik Ganesha Guru,Singaraja,Indonesia

4. École Doctorale Science Economics Université de Poitiers,La Rochelle,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428113/10428121/10428890.pdf?arnumber=10428890

Reference19 articles.

1. The impact of visual learning on early childhood education;Smith;Journal of Early Childhood Development,2017

2. Enhancing cognitive development through visual learning in preschoolers;Johnson;Child Development Perspectives,2019

3. Visual learning strategies in early childhood education;Jones;Early Childhood Research Quarterly,2020

4. The impact of digital drawing apps on cognitive development in preschoolers;Anderson;Journal of Educational Technology,2018

5. Creative play and brain development in early childhood: A longitudinal study;Zimmerman;Developmental Psychology,2019

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