Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jingce Xu"'
Publikováno v:
International Journal of Crowd Science, Vol 2, Iss 2, Pp 99-107 (2018)
Purpose - With the development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more autonomous and smart. Therefore, there is a growing demand for developing a universal intelligence measurement
Externí odkaz:
https://doaj.org/article/9a69b480a7c94ae5ba3485d439e202ec
Publikováno v:
International Journal of Crowd Science, Vol 2, Iss 1, Pp 18-26 (2018)
Purpose - With development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more and more autonomous and smart. Therefore, there is a growing demand to develop a universal intelligence measuremen
Externí odkaz:
https://doaj.org/article/8f5e2229f46d4d44953c2deeed2e41f5
Publikováno v:
International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022).
Publikováno v:
Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) ISBN: 9789464630459
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6482dce7790c8dd348c652721b73a5c8
https://doi.org/10.2991/978-94-6463-046-6_42
https://doi.org/10.2991/978-94-6463-046-6_42
Publikováno v:
IEEE Network. 33:102-110
With advanced IoT, visualization has become an integral part of smart city services in our daily life ranging from building management, property maintenance, autonomous vehicles, healthcare, and shopping to tourism. In visual IoT, visualized sensors
Publikováno v:
E3S Web of Conferences, Vol 256, p 02014 (2021)
With the integration of 5G and Internet of Things (IoT), the application of large-scale IoT devices networking is increasingly extensive, such as building management, property maintenance, autonomous vehicles, healthcare, and shopping to tourism. In
Publikováno v:
International Journal of Crowd Science, Vol 2, Iss 1, Pp 18-26 (2018)
International Journal of Crowd Science, Vol 2, Iss 2, Pp 99-107 (2018)
International Journal of Crowd Science, Vol 2, Iss 2, Pp 99-107 (2018)
Purpose With the development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more autonomous and smart. Therefore, there is a growing demand for developing a universal intelligence measurement s
Publikováno v:
International Journal of Crowd Science. 2:18-26
Purpose With development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more and more autonomous and smart. Therefore, there is a growing demand to develop a universal intelligence measurement
Publikováno v:
VCIP
With the development of visual devices and artificial intelligence technologies, many researchers focus on how to deploy a massive of IoT devices efficiently. The visual devices in smart cities produce large amount of real-time visual data, which cha
Publikováno v:
ANCS
The rapid development of the internet of things (IoT)promotes research in smart city and Fog computing. The vast volume of real-time visual data produced from the tremendous end devices in IoT is a big challenge for the network to transmit and for th