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Interconnected Sensor Networks and Machine Learningbased nalytics in Data-driven Smart Sustainable Cities

Interconnected Sensor Networks and Machine Learningbased nalytics in Data-driven Smart... Employing recent research results covering interconnected sensor networks and machine learning-based analytics in data-driven smart sustainable cities, and building my argument by drawing on data collected from BDO, Capgemini, ICMA, KPMG, McKinsey, Philips, SCC, SmartCitiesWorld, and World Economic Forum, I performed analyses and made estimates regarding the progress of smart cities toward sustainability. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. Keywords: smart sustainable city; big data analytics; sensor network; machine learning http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Geopolitics, History, and International Relations Addleton Academic Publishers

Interconnected Sensor Networks and Machine Learningbased nalytics in Data-driven Smart Sustainable Cities

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1948-9145
eISSN
2374-4383
Publisher site
See Article on Publisher Site

Abstract

Employing recent research results covering interconnected sensor networks and machine learning-based analytics in data-driven smart sustainable cities, and building my argument by drawing on data collected from BDO, Capgemini, ICMA, KPMG, McKinsey, Philips, SCC, SmartCitiesWorld, and World Economic Forum, I performed analyses and made estimates regarding the progress of smart cities toward sustainability. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. Keywords: smart sustainable city; big data analytics; sensor network; machine learning

Journal

Geopolitics, History, and International RelationsAddleton Academic Publishers

Published: Jan 1, 2021

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