A Lightweight CNN for Multi-Class Classification of Handwritten Digits and Mathematical Symbols
Recognizing handwritten digits and mathematical symbols remains a nontrivial challenge due to handwriting variability and visual similarity among classes. While deep learning, particularly Convolutional Neural Networks (CNNs), has significantly advanced handwriting recognition, many existing solutio...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Dian Nuswantoro
2025-08-01
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| Series: | Techno.Com |
| Online Access: | https://publikasi.dinus.ac.id/index.php/technoc/article/view/13138 |
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