Time series forecasting of COVID-19 transmission in Canada using LSTM networks
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Publication:2120643
DOI10.1016/j.chaos.2020.109864zbMath1489.92144OpenAlexW3022787740WikidataQ94543794 ScholiaQ94543794MaRDI QIDQ2120643
Lei Zhang, Vinay Kumar Reddy Chimmula
Publication date: 1 April 2022
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2020.109864
machine learningtime series forecastingepidemic transmissionCOVID-19corona viruslong short term memory (LSTM) networks
Epidemiology (92D30) Dynamical systems in biology (37N25) Time series analysis of dynamical systems (37M10) Medical epidemiology (92C60)
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- Semi-analytical study of pine wilt disease model with convex rate under Caputo-Febrizio fractional order derivative
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