Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
Ammar H. Elsheikh,Amal I. Saba,Mohamed Abd Elaziz,Songfeng Lu,S. Shanmugan,T. Muthuramalingam,Ravinder Kumar,Ahmed O. Mosleh,Fadl A. Essa,Taher A. Shehabeldeen +9 more
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TL;DR: Long short-term memory network as a robust deep learning model is proposed to forecast the number of total confirmed cases, total recovered cases, and total deaths in Saudi Arabia to help policymakers to control the disease and to put strategic plans to organize Hajj and the closure periods of the schools and universities.
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About: This article is published in Process Safety and Environmental Protection. The article was published on 01 May 2021. and is currently open access. The article focuses on the topics: Autoregressive integrated moving average.
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Citations
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
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