Machine Learning for IoT Applications and Digital Twins

Javad Rezazadeh; Omid Ameri Sianaki; Reza Farahbakhsh

doi:10.3390/s24155062

Sensors (Aug 2024)

Machine Learning for IoT Applications and Digital Twins

Javad Rezazadeh,
Omid Ameri Sianaki,
Reza Farahbakhsh

Affiliations

Javad Rezazadeh: Crown Institute of Higher Education (CIHE), Sydney, NSW 2060, Australia
Omid Ameri Sianaki: Victoria University Business School, Victoria University, Melbourne, VIC 8001, Australia
Reza Farahbakhsh: Institute Polytechnique de Paris, Telecom SudParis, 91000 Evry, France

DOI: https://doi.org/10.3390/s24155062
Journal volume & issue: Vol. 24, no. 15
p. 5062

Abstract

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The Internet of Things (IoT) stands as one of the most transformative technologies of our era, significantly enhancing the living conditions and operational efficiencies across various domains [...]

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Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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