A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India-Reference-Cited by-同舟云学术

A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India

Published:2021-07-23 Issue: Volume: Page:
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Ahuja Sahil,Shelke Nitin Arvind,Singh Pawan Kumar

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-021-01988-1.pdf

Reference18 articles.

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2. Covid-19: Government response stringency index. available [online]: https://ourworldindata.org/grapher/covid-stringency-index. (Accessed 10 Oct 2020)

3. Humanitarian data exchange. available [online]: https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases. (Accessed 10 Oct 2020)

4. Ministry of home a situation report: Government of india 2020. available [online]: https://www.mohfw.gov.in/. (Accessed 25 Oct 2020)

5. Al-Qaness, M.A., Ewees, A.A., Fan, H., Abd El Aziz, M.: Optimization method for forecasting confirmed cases of covid-19 in china. J. Clin. Med. 9(3), 674 (2020)

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