G. Lăzăroiu’s scientific contributions

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Publications (1)


Addressing the COVID-19 Crisis by Harnessing Internet of Things Sensors and Machine Learning Algorithms in Data-driven Smart Sustainable Cities
  • Article

January 2020

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27 Reads

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49 Citations

Geopolitics History and International Relations

N. Lyons

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G. Lăzăroiu

This paper analyzes the outcomes of an exploratory review of the current research on data-driven smart sustainable cities. The data used for this study was obtained and replicated from previous research conducted by Capgemini, ICMA, KPMG, UNESCAP, UNHSP, SCC, The University of Adelaide, and The World Bank. We performed analyses and made estimates regarding Internet of Things sensors and machine learning algorithms. Data collected from 5,200 respondents are tested against the research model by using structural equation modeling.

Citations (1)


... Sustainable urban mobility planning, management, and development [16] integrate intelligent transportation systems in smart cities. Policymakers benefiting from AI and AIoT opportunities for environmental sustainability [1,60] can articulate interconnections between smart cities and green cities, contributing to redefining urban infrastructures and systems. To become carbon-neutral areas, data-driven smart sustainable cities should develop on big-data-driven urban infrastructures [61], spectrum-sensing-based urban governance networks [62], renewable energy sustainable development and organization management [63][64][65], and civic and public engagement development [66,67], in circular economy practices, machine-learning-based IoT systems [68], cognitive-radio-based IoT networks [69], greenhouse gas environmental quality demand [70], green public procurement sustainability policy adoption [71], and renewable energy technology [72]. ...

Reference:

Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration
Addressing the COVID-19 Crisis by Harnessing Internet of Things Sensors and Machine Learning Algorithms in Data-driven Smart Sustainable Cities
  • Citing Article
  • January 2020

Geopolitics History and International Relations