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Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems.
Kong, Jianlei; Yang, Chengcai; Wang, Jianli; Wang, Xiaoyi; Zuo, Min; Jin, Xuebo; Lin, Sen.
Afiliação
  • Kong J; School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Yang C; National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100048, China.
  • Wang J; School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Wang X; School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Zuo M; School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Jin X; School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Lin S; National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100048, China.
Comput Intell Neurosci ; 2021: 1194565, 2021.
Article em En | MEDLINE | ID: mdl-34804137
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mineração de Dados / Abastecimento de Alimentos Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mineração de Dados / Abastecimento de Alimentos Idioma: En Ano de publicação: 2021 Tipo de documento: Article