Deep neural network for monitoring the growth of COVID-19 epidemic using meteorological covariates

Author:

Khan Atikur R.ORCID,Chowdhury Abdul Hannan,Imon Rahmatullah

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference42 articles.

1. Weather conditions and COVID-19 cases: Insights from the GCC countries;Abu-Abdoun;Intelligent Systems with Applications,2022

2. Chaotic binary reptile search algorithm and its feature selection applications;Abualigah;Journal of Ambient Intelligence and Humanized Computing,2022

3. Investigation of effective climatology parameters on COVID-19 outbreak in Iran;Ahmadi;Science of the Total Environment,2020

4. A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets;Akinola;Scientific Reports,2022

5. Prediction and forecasting of COVID-19 outbreak using regression and ARIMA models;Arora;Journal of Interdisciplinary Mathematics,2021

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