Cargando…
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing()
The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing day by day. Machine Learning (ML) and Cloud Computing can be deployed very effectively to track the disease, predict growth of...
Autores principales: | Tuli, Shreshth, Tuli, Shikhar, Tuli, Rakesh, Gill, Sukhpal Singh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215145/ http://dx.doi.org/10.1016/j.iot.2020.100222 |
Ejemplares similares
-
SimTune: bridging the simulator reality gap for resource management in edge-cloud computing
por: Tuli, Shreshth, et al.
Publicado: (2022) -
Shareholder wealth implications of software firms’ transition to cloud computing: a marketing perspective
por: Nezami, Mehdi, et al.
Publicado: (2022) -
DINI: data imputation using neural inversion for edge applications
por: Tuli, Shikhar, et al.
Publicado: (2022) -
Editorial: COVID 19: New Variants and Host Demography
por: Kaur, Ginpreet, et al.
Publicado: (2022) -
Age Related Functional Connectivity Signature Extraction Using Energy-Based Machine Learning Techniques
por: Varanasi, Sravani, et al.
Publicado: (2023)