COVID-19 response and recovery in smart sustainable city
governance and management: Data-driven Internet of Things
systems and Machine Learning-based analytics

J 2020

COVID-19 response and recovery in smart sustainable city governance and management: Data-driven Internet of Things systems and Machine Learning-based analytics

SCOTT, Roger, Miloš POLIAK, Jaromír VRBKA and Elvíra NICA

Basic information

Original name

COVID-19 response and recovery in smart sustainable city governance and management: Data-driven Internet of Things systems and Machine Learning-based analytics

Name in Czech

Odezva a zotavení z onemocnění COVID-19 v inteligentní udržitelné správě a řízení měst: Systémy internetu věcí založené na datech a analytika založená na strojovém učení

Authors

SCOTT, Roger (826 United Kingdom of Great Britain and Northern Ireland, guarantor), Miloš POLIAK (703 Slovakia), Jaromír VRBKA (203 Czech Republic, belonging to the institution) and Elvíra NICA (642 Romania)

Edition

Geopolitics, History, and International Relations, New York, USA, Addleton Academic Publishers, 2020, 1948-9145

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/20:00001889

Organization unit

Institute of Technology and Business in České Budějovice

DOI

http://dx.doi.org/10.22381/GHIR12220202

Keywords (in Czech)

COVID-19; chytrá udržitelná města; big data, internet věcí

Keywords in English

COVID-19; smart sustainable city; big data; Internet of Things

Abstract

ORIG CZ

V originále

Employing recent research results covering smart sustainable city governance and management, and building argument by drawing on data collected from CompTIA, Deloitte, DNV GL, ICMA, KPMG, PTI, RICS, and SCC, authors performed analyses and made estimates regarding data-driven Internet of Things systems and machine learning-based analytics.

In Czech

S využitím nedávných výsledků výzkumu zahrnujících inteligentní udržitelné řízení a správu měst a budování argumentu čerpáním z údajů shromážděných od společností CompTIA, Deloitte, DNV GL, ICMA, KPMG, PTI, RICS a SCC autoři provedli analýzy a odhady týkající se dat systémů internetu věcí a analytiku založenou na strojovém učení.

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Citovat

SCOTT, Roger, Miloš POLIAK, Jaromír VRBKA and Elvíra NICA. COVID-19 response and recovery in smart sustainable city governance and management: Data-driven Internet of Things systems and Machine Learning-based analytics. Geopolitics, History, and International Relations. New York, USA: Addleton Academic Publishers, 2020, vol. 12, No 2, p. 16-22. ISSN 1948-9145. Available from: https://dx.doi.org/10.22381/GHIR12220202.

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N2  - Employing recent research results covering smart sustainable city governance and management, and building argument by drawing on data collected from CompTIA, Deloitte, DNV GL, ICMA, KPMG, PTI, RICS, and SCC, authors performed analyses and made estimates regarding data-driven Internet of Things systems and machine learning-based analytics.
ER  -

SCOTT, Roger, Miloš POLIAK, Jaromír VRBKA and Elvíra NICA. COVID-19 response and recovery in smart sustainable city governance and management: Data-driven Internet of Things systems and Machine Learning-based analytics. \textit{Geopolitics, History, and International Relations}. New York, USA: Addleton Academic Publishers, 2020, vol.~12, No~2, p.~16-22. ISSN~1948-9145. Available from: https://dx.doi.org/10.22381/GHIR12220202.

Detailed Information on Publication Record