Exploring IoT and Deep Learning for Smart City Technology

Sio Kei Im; Ka Hou Chan

doi:10.1109/CCET59170.2023.10335108

Exploring IoT and Deep Learning for Smart City Technology

Faculty of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In order to support and maintain a better life and improve the overall quality of life for its citizens, smart cities are evolving with new smart technologies. The deep learning and artificial intelligence (AI) technology must be applied to the Internet of Things (IoT), which plays a major role in the contribution of smart cities. The IoT is a ubiquitous network of objects. Each object is connected, has a unique network connection address, and can be automatically accessed anytime, anywhere. The IoT provides an ideal platform for the collection of large amounts of data, and also for the live-streaming of information. In addition, artificial intelligence provides mechanisms for analysing the data and making intelligent decisions. This approach is used in almost all aspects of smart cities, such as communication, transportation, health care, education, governance, etc., and the smart development of the future.

Original language	English
Title of host publication	2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	16-21
Number of pages	6
ISBN (Electronic)	9798350340686
DOIs	https://doi.org/10.1109/CCET59170.2023.10335108
Publication status	Published - 2023
Event	6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023 - Beijing, China Duration: 4 Aug 2023 → 6 Aug 2023

Publication series

Name	2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023

Conference

Conference	6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023
Country/Territory	China
City	Beijing
Period	4/08/23 → 6/08/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Artificial Intelligence (AI)
Deep Learning Model
Intent of Things (IoT)
Smart Cities

Access to Document

10.1109/CCET59170.2023.10335108

Cite this

Im, S. K., & Chan, K. H. (2023). Exploring IoT and Deep Learning for Smart City Technology. In 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023 (pp. 16-21). (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCET59170.2023.10335108

Im, Sio Kei ; Chan, Ka Hou. / Exploring IoT and Deep Learning for Smart City Technology. 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 16-21 (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023).

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title = "Exploring IoT and Deep Learning for Smart City Technology",

abstract = "In order to support and maintain a better life and improve the overall quality of life for its citizens, smart cities are evolving with new smart technologies. The deep learning and artificial intelligence (AI) technology must be applied to the Internet of Things (IoT), which plays a major role in the contribution of smart cities. The IoT is a ubiquitous network of objects. Each object is connected, has a unique network connection address, and can be automatically accessed anytime, anywhere. The IoT provides an ideal platform for the collection of large amounts of data, and also for the live-streaming of information. In addition, artificial intelligence provides mechanisms for analysing the data and making intelligent decisions. This approach is used in almost all aspects of smart cities, such as communication, transportation, health care, education, governance, etc., and the smart development of the future.",

keywords = "Artificial Intelligence (AI), Deep Learning Model, Intent of Things (IoT), Smart Cities",

author = "Im, \{Sio Kei\} and Chan, \{Ka Hou\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023 ; Conference date: 04-08-2023 Through 06-08-2023",

year = "2023",

doi = "10.1109/CCET59170.2023.10335108",

language = "English",

series = "2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "16--21",

booktitle = "2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023",

address = "United States",

}

Im, SK & Chan, KH 2023, Exploring IoT and Deep Learning for Smart City Technology. in 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023, Institute of Electrical and Electronics Engineers Inc., pp. 16-21, 6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023, Beijing, China, 4/08/23. https://doi.org/10.1109/CCET59170.2023.10335108

Exploring IoT and Deep Learning for Smart City Technology. / Im, Sio Kei ; Chan, Ka Hou.
2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 16-21 (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Exploring IoT and Deep Learning for Smart City Technology

AU - Im, Sio Kei

AU - Chan, Ka Hou

PY - 2023

Y1 - 2023

N2 - In order to support and maintain a better life and improve the overall quality of life for its citizens, smart cities are evolving with new smart technologies. The deep learning and artificial intelligence (AI) technology must be applied to the Internet of Things (IoT), which plays a major role in the contribution of smart cities. The IoT is a ubiquitous network of objects. Each object is connected, has a unique network connection address, and can be automatically accessed anytime, anywhere. The IoT provides an ideal platform for the collection of large amounts of data, and also for the live-streaming of information. In addition, artificial intelligence provides mechanisms for analysing the data and making intelligent decisions. This approach is used in almost all aspects of smart cities, such as communication, transportation, health care, education, governance, etc., and the smart development of the future.

AB - In order to support and maintain a better life and improve the overall quality of life for its citizens, smart cities are evolving with new smart technologies. The deep learning and artificial intelligence (AI) technology must be applied to the Internet of Things (IoT), which plays a major role in the contribution of smart cities. The IoT is a ubiquitous network of objects. Each object is connected, has a unique network connection address, and can be automatically accessed anytime, anywhere. The IoT provides an ideal platform for the collection of large amounts of data, and also for the live-streaming of information. In addition, artificial intelligence provides mechanisms for analysing the data and making intelligent decisions. This approach is used in almost all aspects of smart cities, such as communication, transportation, health care, education, governance, etc., and the smart development of the future.

KW - Artificial Intelligence (AI)

KW - Deep Learning Model

KW - Intent of Things (IoT)

KW - Smart Cities

UR - https://www.scopus.com/pages/publications/85181121208

U2 - 10.1109/CCET59170.2023.10335108

DO - 10.1109/CCET59170.2023.10335108

M3 - Conference contribution

AN - SCOPUS:85181121208

T3 - 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023

SP - 16

EP - 21

BT - 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2023

Y2 - 4 August 2023 through 6 August 2023

ER -

Im SK , Chan KH. Exploring IoT and Deep Learning for Smart City Technology. In 2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 16-21. (2023 IEEE 6th International Conference on Computer and Communication Engineering Technology, CCET 2023). doi: 10.1109/CCET59170.2023.10335108

Exploring IoT and Deep Learning for Smart City Technology

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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