Cargando…
A comparative study for predictive monitoring of COVID-19 pandemic
COVID-19 pandemic caused by novel coronavirus (SARS-CoV-2) crippled the world economy and engendered irreparable damages to the lives and health of millions. To control the spread of the disease, it is important to make appropriate policy decisions at the right time. This can be facilitated by a rob...
Autores principales: | Fatimah, Binish, Aggarwal, Priya, Singh, Pushpendra, Gupta, Anubha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988600/ https://www.ncbi.nlm.nih.gov/pubmed/35431707 http://dx.doi.org/10.1016/j.asoc.2022.108806 |
Ejemplares similares
-
COVID-19 image classification using deep learning: Advances, challenges and opportunities
por: Aggarwal, Priya, et al.
Publicado: (2022) -
Generalized SIR (GSIR) epidemic model: An improved framework for the predictive monitoring of COVID-19 pandemic
por: Singh, Pushpendra, et al.
Publicado: (2022) -
Low rank and sparsity constrained method for identifying overlapping functional brain networks
por: Aggarwal, Priya, et al.
Publicado: (2018) -
Modeling and prediction of COVID-19 pandemic using Gaussian mixture model
por: Singhal, Amit, et al.
Publicado: (2020) -
Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage
por: Aggarwal, Priya, et al.
Publicado: (2017)