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Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety

This review explores the application of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in food safety detection and risk prediction. This paper highlights the advantages of CNNs in image processing and feature recognition, as well as the powerful capabilities of RNNs (espe...

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Principais autores: Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-01-01
coleção:Foods
Assuntos:
food safety
deep learning
convolutional neural networks
recurrent neural networks
long short-term memory
Acesso em linha:https://www.mdpi.com/2304-8158/14/2/247
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