Cargando…
A Deep Learning Method to Forecast COVID-19 Outbreak
A new pandemic attack happened over the world in the last month of the year 2019 which disrupt the lifestyle of everyone around the globe. All the related research communities are trying to identify the behaviour of pandemic so that they can know when it ends but every time it makes them surprise by...
Autores principales: | Dash, Satyabrata, Chakravarty, Sujata, Mohanty, Sachi Nandan, Pattanaik, Chinmaya Ranjan, Jain, Sarika |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ohmsha
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286648/ https://www.ncbi.nlm.nih.gov/pubmed/34305259 http://dx.doi.org/10.1007/s00354-021-00129-z |
Ejemplares similares
-
A DM-ELM based classifier for EEG brain signal classification for epileptic seizure detection
por: Mishra, Shruti, et al.
Publicado: (2022) -
Deep learning model for forecasting COVID-19 outbreak in Egypt
por: Marzouk, Mohamed, et al.
Publicado: (2021) -
Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
por: Elsheikh, Ammar H., et al.
Publicado: (2021) -
Forecasting COVID-19 Pandemic Using Prophet, ARIMA, and Hybrid Stacked LSTM-GRU Models in India
por: Sah, Sweeti, et al.
Publicado: (2022) -
Deep learning techniques for biomedical and health informatics
por: Dash, Sujata, et al.
Publicado: (2019)