Isfahan and Covid-19: Deep spatiotemporal representation

Kafieh, Rahele; Saeidizadeh Esfahani, Narges; Arian, Roya; Amini, Zahra; Serej, Nasim Dadashi; Vaezi, Atefeh; Javanmard, Shaghayegh Haghjooy

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Isfahan and Covid-19: Deep spatiotemporal representation

Version 2 2024-06-03, 02:08

Version 1 2023-12-06, 04:49

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posted on 2024-06-03, 02:08 authored by Rahele Kafieh, Narges Saeidizadeh EsfahaniNarges Saeidizadeh Esfahani, Roya Arian, Zahra Amini, Nasim Dadashi Serej, Atefeh Vaezi, Shaghayegh Haghjooy Javanmard

Isfahan and Covid-19: Deep spatiotemporal representation

History

Journal

Chaos, Solitons and Fractals

Volume

141

Article number

110339

Pagination

1-8

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.chaos.2020.110339

ISSN

0960-0779

eISSN

1873-2887

Language

eng

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/33041534

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C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

Publication URL

http://dx.doi.org/10.1016/j.chaos.2020.110339

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Keywords

COVID-19 Deep learning Isfahan Mathematics Mathematics, Interdisciplinary Applications Physical Sciences Physics Physics, Mathematical Physics, Multidisciplinary Predication Science & Technology

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Isfahan and Covid-19: Deep spatiotemporal representation

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