Efficient Pattern Recognition of Sundanese Script Variants Using CNN
This research aims to apply pattern recognition technology, specifically through the Convolutional Neural Network (CNN) approach, in identifying and translating Sundanese script accurately. This research is focused on recognizing rarangken script patterns based on ngalagena script in Indonesian cult...
Saved in:
Main Authors: | Muhammad Husni Wahid, Erik Iman Heri Ujianto |
---|---|
Format: | Article |
Language: | English |
Published: |
Ikatan Ahli Informatika Indonesia
2024-12-01
|
Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
Subjects: | |
Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6122 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UGA SUNDANESE AHMADIYYA: LOCALITY OF MAHDIISM IN WEST JAVA
by: Jajang A Rohmana
Published: (2020-12-01) -
Optimizing Indonesian-Sundanese Bilingual Translation with Adam-Based Neural Machine Translation
by: Anita Qotrun Nada, et al.
Published: (2024-12-01) -
Acculturation of Religion and Culture Within Muslim Sundanese Society in West Java
by: Fitri Yanti, et al.
Published: (2024-07-01) -
From Tradition to Future: Sundanese Indigenous Laws as the Vanguard of Environmental Conservation and Disaster Mitigation
by: Dimas Febriansyah Krisna Dwiputra, et al.
Published: (2024-08-01) -
Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification
by: Herimanto, et al.
Published: (2024-12-01)