Cargando…
Surveillance Routing of COVID-19 Infection Spread Using an Intelligent Infectious Diseases Algorithm
In this study, the Intelligent Infectious Diseases Algorithm (IIDA) has been developed to locate the sources of infection and survival rate of coronavirus disease 2019 (COVID-19), in order to propose health care routes for population affected by COVID-19. The main goal of this computational algorith...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545257/ https://www.ncbi.nlm.nih.gov/pubmed/34812367 http://dx.doi.org/10.1109/ACCESS.2020.3036347 |
Ejemplares similares
-
Leveraging artificial intelligence to optimize COVID-19 robust spread and vaccination roll-out strategies in Southern Africa
por: Mathaha, Thuso, et al.
Publicado: (2022) -
Low-cost intelligent surveillance system based on fast CNN
por: Sabri, Zaid Saeb, et al.
Publicado: (2021) -
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks
por: Osamy, Walid, et al.
Publicado: (2022) -
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development
por: Keshavarzi Arshadi, Arash, et al.
Publicado: (2020) -
Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis
Publicado: (2021)