Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices-Reference-Cited by-同舟云学术

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Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices

Published:2020-11 Issue: Volume:62 Page:102372
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Rahman Md Arafatur,Zaman Nafees,Asyhari A. Taufiq,Al-Turjman Fadi,Alam Bhuiyan Md. Zakirul,Zolkipli M.F.

Funder

University Malaysia Pahang

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference52 articles.

1. Privacy-friendly platform for healthcare data in cloud based on blockchain environment;A.B.S.K.M.S.R. Abdullah Al Omar;Future Generation Computer Systems,2019

2. Software-defined wireless sensor networks in smart grids: An overview;Abujubbeh;Sustainable Cities and Society,2019

3. Preliminary identification of potential vaccine targets for the covid-19 coronavirus (sars-cov-2) based on sars-cov immunological studies;Ahmed;Viruses,2020

4. Lcpc error correction code for iot applications;Alabady;Sustainable Cities and Society,2018

5. When will it be over?: An introduction to viral reproduction numbers, r0 and re;Aronson,2020

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