Smart Technologies, Back-to-the-Village Rhetoric, and Tactical Urbanism

Graziano, Teresa

doi:10.4018/ijepr.20210401.oa7

Cited by 38 publications

(20 citation statements)

References 26 publications

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“…Again, this concretizes the critique presented in this study, highlighting the need to “smart up” the systems that drive cities. The study of Graziano et al [ 71 ] supports the potency of the framework proposed in this study. The authors noted that governments are now considering a more inclusive techled urban development, in other words, smart cities.…”

Section: Resultssupporting

confidence: 83%

[Retracted] A Novel Smart City‐Based Framework on Perspectives for Application of Machine Learning in Combating COVID‐19

Ezugwu

Hashem

Oyelade

et al. 2021

BioMed Research International

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The spread of COVID-19 worldwide continues despite multidimensional efforts to curtail its spread and provide treatment. Efforts to contain the COVID-19 pandemic have triggered partial or full lockdowns across the globe. This paper presents a novel framework that intelligently combines machine learning models and the Internet of Things (IoT) technology specifically to combat COVID-19 in smart cities. The purpose of the study is to promote the interoperability of machine learning algorithms with IoT technology by interacting with a population and its environment to curtail the COVID-19 pandemic. Furthermore, the study also investigates and discusses some solution frameworks, which can generate, capture, store, and analyze data using machine learning algorithms. These algorithms can detect, prevent, and trace the spread of COVID-19 and provide a better understanding of the disease in smart cities. Similarly, the study outlined case studies on the application of machine learning to help fight against COVID-19 in hospitals worldwide. The framework proposed in the study is a comprehensive presentation on the major components needed to integrate the machine learning approach with other AI-based solutions. Finally, the machine learning framework presented in this study has the potential to help national healthcare systems in curtailing the COVID-19 pandemic in smart cities. In addition, the proposed framework is poised as a pointer for generating research interests that would yield outcomes capable of been integrated to form an improved framework.

show abstract

Section: Resultssupporting

confidence: 83%

[Retracted] A Novel Smart City‐Based Framework on Perspectives for Application of Machine Learning in Combating COVID‐19

Ezugwu

Hashem

Oyelade

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Again, this concretizes the critique presented in this study which highlights the need for 'smarting up' the systems that drives cities. The study of Graziano et al, (2021) supports the potency of the proposed framework in this study. The authors noted that governments are now considering a more inclusive tech-led urban developmentsmart cities.…”

Section: Resultssupporting

confidence: 82%

A Novel Smart City Based Framework on Perspectives for application of Machine Learning in combatting COVID-19

Hashem

Ezugwu

Al-Garadi

et al. 2020

Preprint

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The spread of COVID-19 across the world continues as efforts are being made from multi-dimension to curtail its spread and provide treatment. The COVID-19 triggered partial and full lockdown across the globe in an effort to prevent its spread. COVID-19 causes serious fatalities with United States of America recording over 3,000 deaths within 24 hours, the highest in the world for a single day. In this paper, we propose a framework integrated with machine learning to curtail the spread of COVID-19 in smart cities. A novel mathematical model is created to show the spread of the COVID-19 in smart cities. The proposed solution framework can generate, capture, store and analyze data using machine learning algorithms to detect, prevent the spread of COVID-19, forecast next epidemic, effective contact tracing, diagnose cases, monitor COVID-19 patient, COVID-19 vaccine development, track potential COVID-19 patients, aid in COVID-19 drug discovery and provide better understanding of the virus in smart cities. The study outlined case studies on the application of machine learning to help in the fight against COVID-19 in hospitals in smart cities across the world. The framework can provide a guide for real world execution in smart cities. The proposed framework has the potential for helping national healthcare systems in curtailing the COVID-19 pandemic in smart cities.

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“…Grassroots activities such as tactical urbanism ( Bereitschaft and Scheller, 2020 , Daly et al, 2020 , Graziano, 2021 , Jalan and Sen, 2020 , pp. 105-124; Law et al, 2021 , pp.…”

Section: Great Importance Of Green Infrastructure Open Spaces Neighbourly Character and Smart Cities Technology During Pandemic Process Imentioning

confidence: 99%

Pandemic resilient cities: Possibilities of repairing Polish towns and cities during COVID-19 pandemic

et al. 2022

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Smart Technologies, Back-to-the-Village Rhetoric, and Tactical Urbanism

Cited by 38 publications

References 26 publications

[Retracted] A Novel Smart City‐Based Framework on Perspectives for Application of Machine Learning in Combating COVID‐19

[Retracted] A Novel Smart City‐Based Framework on Perspectives for Application of Machine Learning in Combating COVID‐19

A Novel Smart City Based Framework on Perspectives for application of Machine Learning in combatting COVID-19

Pandemic resilient cities: Possibilities of repairing Polish towns and cities during COVID-19 pandemic

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