Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Yuben QU"'
Publikováno v:
Tongxin xuebao, Vol 44, Pp 1-12 (2023)
A new architecture for the typical application scenario of low altitude intelligence network spectrum cognition and decision was introduced.Firstly, the challenges of spectrum security management and efficient sharing in low altitude intelligence net
Externí odkaz:
https://doaj.org/article/79676c3b6fde47bcbb6f7578dcd01ca3
Publikováno v:
Drones, Vol 7, Iss 6, p 362 (2023)
Motivated by the increasing number of drones used for package delivery, we first study the problem of Multiple drOne collaborative Routing dEsign (MORE) in this article. That is, given a fixed number of drones and customers, determining the delivery
Externí odkaz:
https://doaj.org/article/9b024bad761242b8b1b98dbe28c0c2ba
Publikováno v:
智能科学与技术学报, Vol 2, Pp 227-239 (2020)
Edge intelligent computing refers to the offloading of computationally intensive tasks generated by user nodes to edge servers with stronger computing capabilities for processing.Unmanned aerial vehicle (UAV)-based edge intelligent computing combines
Externí odkaz:
https://doaj.org/article/7547fb00fd064d5a860689a378c29880
Publikováno v:
IEEE Access, Vol 6, Pp 31117-31128 (2018)
Due to the simplicity of implementation, user-initiated Wi-Fi offloading becomes more and more popular, and naturally the benefits of users become the main optimization goal. We notice the intercontact and intra-contact durations could be uncertain i
Externí odkaz:
https://doaj.org/article/84a3d94ad27d476da539852f0db39de7
Publikováno v:
IEEE Transactions on Mobile Computing. 22:2972-2988
Thanks to the increasing number and massive coverage, delivery drones, equipped with various sensors, have demonstrated significant but unexplored potentials for large-scale and low-cost urban sensing during package delivery. In this paper, we propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0479cb2b7e3db62b7422f34ec7e6d74
https://doi.org/10.1109/tmc.2021.3127212
https://doi.org/10.1109/tmc.2021.3127212
Autor:
Zhen Qin, Zhenhua Wei, Yuben Qu, Fuhui Zhou, Hai Wang, Derrick Wing Kwan Ng, Chan-Byoung Chae
Publikováno v:
IEEE Transactions on Wireless Communications. 22:2989-3005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c72e31ff6e7a9b10c3c663b6ed7629df
https://doi.org/10.1109/twc.2022.3215795
https://doi.org/10.1109/twc.2022.3215795
Publikováno v:
Highlights in Science, Engineering and Technology. 39:687-694
Compared with traditional distributed machine learning, federated learning (or joint learning) enables multiple computing nodes to cooperate and train a shared machine learning model without transmitting original data. At present, the research work o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff55a577c101a391154a2f5e83ceabf
https://doi.org/10.54097/hset.v39i.6628
https://doi.org/10.54097/hset.v39i.6628
Publikováno v:
IEEE Internet of Things Journal. 10:2272-2284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5480338e55bb5560b5f6b56ef408fab7
https://doi.org/10.1109/jiot.2022.3152829
https://doi.org/10.1109/jiot.2022.3152829
Publikováno v:
IEEE Internet of Things Journal. 10:2255-2271
We study the problem of Resilient Service Provisioning for Edge computing (RSPE), i.e., how to determine a service placement strategy to maximize the expected overall utility by service provisioning, in the presence of uncertain service failures. RSP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e713e7c553b85f39d1ef1a15528fa502
https://doi.org/10.1109/jiot.2021.3078620
https://doi.org/10.1109/jiot.2021.3078620
Autor:
Xianlong Jiao, Hongjun Ou, Shiguang Chen, Songtao Guo, Yuben Qu, Chaocan Xiang, Jiaxing Shang
Publikováno v:
IEEE Transactions on Network Science and Engineering. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6555c5b82e9099b32f3cf5f7e8aab52a
https://doi.org/10.1109/tnse.2023.3263169
https://doi.org/10.1109/tnse.2023.3263169