Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Guoming Lu"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-15 (2021)
Abstract The pervasive cooperation of a group of UAVs has attracted increasing attention due to the reduced cost and widespread availability. When working in an untrusted or adversarial environment, the mutual authentication of UAVs in the cooperativ
Externí odkaz:
https://doaj.org/article/bf9b7466f3f54553a12716633e0d1493
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Federated learning is a distributed machine learning framework that enables distributed nodes with computation and storage capabilities to train a global model while keeping distributed-stored data locally. This process can promote the efficiency of
Externí odkaz:
https://doaj.org/article/722ead0472874e65bc5d49189a2712e3
Publikováno v:
In Results in Physics June 2019 13
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 16 (2020)
With the rapid development of intelligent perception and other data acquisition technologies in the Internet of things, large-scale scientific workflows have been widely used in geographically distributed multiple data centers to realize high perform
Externí odkaz:
https://doaj.org/article/3dab2653f9e14926aa2e273165c5dfcb
Publikováno v:
IEEE Access, Vol 7, Pp 131929-131943 (2019)
Mobile Crowd-Sensing (MCS) is a dominant sensing paradigm for Internet of Things (IoT), with a lot of potentials as it allows data collection through the user's sensor embedded mobile devices. The participation of people in IoT not only brings greate
Externí odkaz:
https://doaj.org/article/872a32f28b704455b8fc2fae4902599c
Publikováno v:
Neural Computing and Applications. 34:4781-4801
Autor:
Zhao Deng, Guoming Lu
Publikováno v:
Cluster Computing.
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
The data publication from multiple contributors has been long considered a fundamental task for data processing in various domains. It has been treated as one prominent prerequisite for enabling AI techniques in wireless networks. With the emergence
Entity alignment via knowledge embedding and type matching constraints for knowledge graph inference
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:5199-5209
The prosperous development of cognition and human-level intelligence have made the creation of large-scale domain knowledge graphs (KGs) a hot research field. Entity alignment (EA), which discovers entity pairs that represent the same real object in
Publikováno v:
Personal and Ubiquitous Computing. 26:995-1010
Image super-resolution is widely applied in face recognition, video perception, medical imaging, and many other fields. Although significant progress has been made, existing methods remain limited in reconstructing fine-grained texture details, makin