A Novel 1D-DenseNet-Like Architecture for Enhanced Raisin Grain Classification
This study introduces a novel sparse one-dimensional dense convolutional network-like (1D-DenseNet) architecture, optimized explicitly for raisin variety classification. By combining advanced deep learning techniques with a concise set of seven pre-extracted morphological features, our method signif...
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
World Scientific Publishing
2026-05-01
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| Serie: | Vietnam Journal of Computer Science |
| Soggetti: | |
| Accesso online: | https://www.worldscientific.com/doi/10.1142/S2196888825500101 |
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