| Title |
A review on deep learning for future smart cities |
| ID_Doc |
39716 |
| Authors |
Bhattacharya, S; Somayaji, SRK; Gadekallu, TR; Alazab, M; Maddikunta, PKR |
| Title |
A review on deep learning for future smart cities |
| Year |
2022 |
| Published |
Internet Technology Letters, 5, 1 |
| DOI |
10.1002/itl2.187 |
| 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. |
| Author Keywords |
deep learning; smart city; smart education; smart health; smart mobility; urban modeling |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000544264300001 |
| WoS Category |
Telecommunications |
| Research Area |
Telecommunications |
| PDF |
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/itl2.187
|