Analysis and Prediction of COVID-19 Pandemic in Bangladesh by Using ANFIS and LSTM Network-Reference-Cited by-同舟云学术

Analysis and Prediction of COVID-19 Pandemic in Bangladesh by Using ANFIS and LSTM Network

Published:2021-04-12 Issue: Volume: Page:
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Chowdhury Anjir Ahmed,Hasan Khandaker Tabin^ORCID,Hoque Khadija Kubra Shahjalal

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-021-09859-0.pdf

Reference23 articles.

1. Punn NS, Sonbhadra SK, Agarwal S. COVID-19 Epidemic analysis using machine learning and deep learning algorithms. medRxiv 2020. page 2020.04.08.20057679. Available from: http://medrxiv.org/content/early/2020/04/11/2020.04.08.20057679.abstract.

2. World Health Organization. Coronavirus (COVID-19) events as they happen, 2020. Available from: https://www.who.int/emergencies/diseases/novelcoronavirus-2019/events-as-they-happen.

3. Anwar S, Nasrullah M, Hosen MJ. COVID-19 and Bangladesh: challenges and how to address them. Front Public Health. 2020;8:154.

4. Worldometer. Bangladesh Coronavirus: 190,057 Cases and 2,424 Deaths - Worldometer, 2020. Available from: https://www.worldometers.info/coronavirus/ country/bangladesh/.

5. Shinde GR, Kalamkar AB, Mahalle PN, Dey N, Chaki J, Hassanien AE. Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art. SN Computer Science. 2020;1(4):1–15. https://doi.org/10.1007/s42979-020-00209-9.

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