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An edge-driven multi-agent optimization model for infectious disease detection
This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity embedding networks, long-short term memory, and convolution neural networks, for accurately le...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898659/ https://www.ncbi.nlm.nih.gov/pubmed/35280108 http://dx.doi.org/10.1007/s10489-021-03145-0 |