A review on deep learning for future smart cities

被引：70

作者：

Bhattacharya, Sweta ^{[1
]}

Somayaji, Siva Rama Krishnan ^{[1
]}

Gadekallu, Thippa Reddy ^{[1
]}

Alazab, Mamoun ^{[2
]}

Maddikunta, Praveen Kumar Reddy ^{[1
]}

机构：

[1] Vellore Inst Technol, Sch Informat Technol & Engn, Vellore 632014, Tamil Nadu, India

[2] Charles Darwin Univ, Coll Engn IT & Environm, Darwin, NT 0909, Australia

来源：

INTERNET TECHNOLOGY LETTERS | 2022年 / 5卷 / 01期

关键词：

deep learning; smart city; smart education; smart health; smart mobility; urban modeling;

D O I：

10.1002/itl2.187

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页数：6

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