Cargando…
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
Virus based epidemic is one of the speedy and widely spread infectious disease which can affect the economy of the country as well as it is life-threatening too. So, there is a need to forecast the epidemic lifespan, which can help us in taking preventive measures and remedial action on time. These...
Autores principales: | Ketu, Shwet, Mishra, Pramod Kumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785924/ https://www.ncbi.nlm.nih.gov/pubmed/34764576 http://dx.doi.org/10.1007/s10489-020-01889-9 |
Ejemplares similares
-
RETRACTED ARTICLE: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability
por: Ketu, Shwet, et al.
Publicado: (2021) -
Retraction Note: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability
por: Ketu, Shwet, et al.
Publicado: (2023) -
IoT-Enabled smart mask to detect COVID19 outbreak
por: Selvadass, Salomi, et al.
Publicado: (2022) -
Sazgar IoT: A Device-Centric IoT Framework and Approximation Technique for Efficient and Scalable IoT Data Processing
por: Yavari, Ali, et al.
Publicado: (2023) -
Regression with Gaussian Processes
por: Kalia, Saarik
Publicado: (2016)