A review on deep learning for future smart cities

Sweta Bhattacharya; Siva Rama Krishnan S; Thippa Reddy Gadekallu; Mamoun Alazab; Praveen Kumar Reddy Maddikunta

doi:10.1002/itl2.187

A review on deep learning for future smart cities

Sweta Bhattacharya, Siva Rama Krishnan S, Thippa Reddy Gadekallu, Mamoun Alazab, Praveen Kumar Reddy Maddikunta

Research output: Contribution to journal › Special issue › peer-review

97 Citations (Scopus)

Abstract

The advancements in Information and Communication Technologies (ICT) made the concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are deployed across several locations to collect the data about traffic, drainage, mobility of citizens etc. and the insights gained from these data are used to manage resources, assets etc. effectively. Deep Learning has been used extensively on the data generated by IoT sensors in a smart city by several researchers. In this article an attempt is made to survey several state‐of‐the art on usage of Deep Learning on Smart City data. Several future research directions are suggested at the end of the article.

Original language	English
Article number	e187
Pages (from-to)	1-6
Number of pages	6
Journal	Internet Technology Letters
Volume	5
Issue number	1
Early online date	24 May 2020
DOIs	https://doi.org/10.1002/itl2.187
Publication status	Published - Feb 2022

Bibliographical note

Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.

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10.1002/itl2.187

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A review on deep learning for future smart cities

Abstract

Bibliographical note

UN SDGs

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