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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review
Comparative Study of PCA-RBFNN and Convolutional-RBFNN Models for Handwritten Mathematical Symbol Recognition in Indonesian Elementary Education
Nur Patty N.A.
Proceedings Icsintesa 2025 2025 5th International Conference of Science and Information Technology in Smart Administration
Published: 2025
Abstract
Sourced directly from Elsevier Scopus. No OpenAlex abstract available.
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10.1109/ICSINTESA68165.2025.11413773Other files and links
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Computer scienceSciences
IndonesianSciences
Artificial intelligenceSciences
Symbol (formal)Sciences
Natural language processingSciences
Speech recognitionSciences
LinguisticsSciences
Primary educationSciences
Pattern recognition (psychology)Sciences
Key (lock)Sciences
Feature (linguistics)Sciences
MathematicsSciences