dc.creatorArora, Parul
dc.creatorKumar, Himanshu
dc.creatorPanigrahi, Bijaya Ketan
dc.date.accessioned2020-07-29T17:20:35Z
dc.date.accessioned2022-09-23T18:43:16Z
dc.date.available2020-07-29T17:20:35Z
dc.date.available2022-09-23T18:43:16Z
dc.date.created2020-07-29T17:20:35Z
dc.identifier0960-0779
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S096007792030415X?via%3Dihub#!
dc.identifierhttp://hdl.handle.net/20.500.12010/11348
dc.identifierhttps://doi.org/10.1016/j.chaos.2020.110017
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3506180
dc.publisherChaos, Solitons & Fractals
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcereponame:Expeditio Repositorio Institucional UJTL
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozano
dc.subjectPrediction
dc.subjectDeep learning
dc.subjectRNN
dc.subjectLSTM
dc.titlePrediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India


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