Cargando…
Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network()
The coronavirus pandemic has affected people all over the world and posed a great challenge to international health systems. To aid early detection of coronavirus disease-2019 (COVID-19), this study proposes a real-time detection system based on the Internet of Things framework. The system collects...
Autores principales: | Mohammedqasem, Roa'a, Mohammedqasim, Hayder, Ata, Oguz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985446/ https://www.ncbi.nlm.nih.gov/pubmed/35399912 http://dx.doi.org/10.1016/j.compeleceng.2022.107971 |
Ejemplares similares
-
Diagnosing Coronary Artery Disease on the Basis of Hard Ensemble Voting Optimization
por: Mohammedqasim, Hayder, et al.
Publicado: (2022) -
Multi-objective deep learning framework for COVID-19 dataset problems
por: Mohammedqasem, Roa'a, et al.
Publicado: (2023) -
Artificial intelligence techniques in IoT sensor networks
por: Elhoseny, Mohamed, et al.
Publicado: (2020) -
Real-Time Sensor Networks and Systems for the Industrial IoT: What Next?
por: Koulamas, Christos, et al.
Publicado: (2020) -
A Real-Time Portable IoT System for Telework Tracking
por: Zhang, Yongxin, et al.
Publicado: (2021)