TY - GEN
T1 - Exploring IoT and Deep Learning for Smart City Technology
AU - Im, Sio Kei
AU - Chan, Ka Hou
N1 - Publisher Copyright:
© 2023 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85181121208&partnerID=8YFLogxK
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 -
