Cargando…
Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems
Food quality and safety issues occurred frequently in recent years, which have attracted more and more attention of social and international organizations. Considering the increased quality risk in the food supply chain, many researchers have applied various information technologies to develop real-...
Autores principales: | Kong, Jianlei, Yang, Chengcai, Wang, Jianli, Wang, Xiaoyi, Zuo, Min, Jin, Xuebo, Lin, Sen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598327/ https://www.ncbi.nlm.nih.gov/pubmed/34804137 http://dx.doi.org/10.1155/2021/1194565 |
Ejemplares similares
-
Artificial intelligence in IoT
por: Al-Turjman, Fadi
Publicado: (2019) -
Complex Pignistic Transformation-Based Evidential Distance for Multisource Information Fusion of Medical Diagnosis in the IoT
por: Xiao, Fuyuan
Publicado: (2021) -
Artificial Intelligence for IoT Cookbook
por: Roshak, Michael
Publicado: (2021) -
A Self-Provisioning Mechanism in OpenStack for IoT Devices
por: Solano, Antonio, et al.
Publicado: (2016) -
Fog-enabled intelligent IoT systems
por: Yang, Yang, et al.
Publicado: (2019)