A Comparison of MobileNetV2 and VGG16 Architectures with Transfer Learning for Multi-Class Image-Based Waste Classification
Effective waste management represents a global challenge with significant environmental and public health impacts. Despite existing waste classification systems achieving high accuracy rates, a critical research gap exists in determining optimal CNN architectures for real-world deployment constraint...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Politeknik Negeri Batam
2025-08-01
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| シリーズ: | Journal of Applied Informatics and Computing |
| 主題: | |
| オンライン･アクセス: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9958 |
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