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Block-based compressive sensing in deep learning using AlexNet for vegetable classification

Vegetables can be distinguished according to differences in color, shape, and texture. The deep learning convolutional neural network (CNN) method is a technique that can be used to classify types of vegetables for various applications in agriculture. This study proposes a vegetable classification t...

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書誌詳細
主要な著者: Indrarini Dyah Irawati, Gelar Budiman, Sofia Saidah, Suci Rahmadiani, Rohaya Latip
フォーマット: Artigo
言語:Inglês
出版事項: PeerJ Inc. 2023-11-01
シリーズ:PeerJ Computer Science
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オンライン・アクセス:https://peerj.com/articles/cs-1551.pdf
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