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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/1383
Title: Modeling and prediction of COVID-19 pandemic using Gaussian mixture model
Authors: Singhal, Amit
Issue Date: 2020
Publisher: Elsevier Ltd
Abstract: COVID-19, Discrete cosine transform (DCT), Fourier decomposition method (FDM), Gaussian mixture model (GMM), Mathematical model, Susceptible-infected-recovered (SIR) model
URI: https://doi.org/10.1016/j.chaos.2020.110023
http://lrcdrs.bennett.edu.in:80/handle/123456789/1383
ISSN: 0960-0779
Appears in Collections:Journal Articles_ECE

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