Cargando…
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction
Novel corona-virus (nCOV) has been declared as a pandemic that started from the city Wuhan of China. This deadly virus is infecting people rapidly and has targeted 4.93 million people across the world, with 227 K people being infected only in Italy. Cases of nCOV are quickly increasing whereas the n...
Autor principal: | Younis, Mohammed Chachan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062905/ https://www.ncbi.nlm.nih.gov/pubmed/33930734 http://dx.doi.org/10.1016/j.compmedimag.2021.101921 |
Ejemplares similares
-
Deep compartment models: A deep learning approach for the reliable prediction of time‐series data in pharmacokinetic modeling
por: Janssen, Alexander, et al.
Publicado: (2022) -
Time series predicting of COVID-19 based on deep learning
por: Alassafi, Madini O., et al.
Publicado: (2022) -
A Hybrid Approach for Turning Intention Prediction Based on Time Series Forecasting and Deep Learning
por: Zhang, Hailun, et al.
Publicado: (2020) -
An ensemble learning approach to digital corona virus preliminary screening from cough sounds
por: Mohammed, Emad A., et al.
Publicado: (2021) -
Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning
por: Kim, Jeoung Kun, et al.
Publicado: (2021)