The prediction analysis of Covid-19 using enhanced deep learning network and improvised optimization algorithms
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0175844
Reference24 articles.
1. R. Pal, A. A. Sekh, S. Kar, and D. K. Prasad, “Neural network-based country wise risk prediction of COVID-19,” arXiv preprint arXiv:2004.00959, 2020.
2. S. F. Ardabili, A. Mosavi, P. Ghamisi, F. Ferdinand, A. R. Varkonyi-Koczy, U. Reuter, et al., “Covid-19 outbreak prediction with machine learning,” Available at SSRN 3580188, 2020.
3. H. Dutta, “Neural Network Model for Prediction of Covid-19 Confirmed Cases and Fatalities.”
4. X. Mei, H.-C. Lee, K.-y. Diao, M. Huang, B. Lin, C. Liu, et al., “Artificial intelligence–enabled rapid diagnosis of patients with COVID-19,” Nature Medicine, pp. 1–5, 2020.
5. D. Ezzat and H. A. Ella, “GSA-DenseNet121-COVID-19: a hybrid deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization algorithm,” arXiv preprint arXiv:2004.05084, 2020.
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