Zobrazeno 1 - 10
of 91
pro vyhledávání: '"CHENQUAN GAN"'
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 6, Pp 1441-1447 (2023)
The video-oriented facial expression recognition has always been an important issue in emotion perception. At present, the key challenge in most existing methods is how to effectively extract robust features to characterize facial appearance and geom
Externí odkaz:
https://doaj.org/article/cc71729f98f941479c1d301b33e9f7a2
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 14502-14517 (2023)
Cloud computing has become a widespread technology that delivers a broad range of services across various industries globally. One of the crucial features of cloud infrastructure is virtual machine (VM) migration, which plays a pivotal role in resour
Externí odkaz:
https://doaj.org/article/fa1816590dab466aabeba61f3f844566
Publikováno v:
IET Communications, Vol 15, Iss 12, Pp 1632-1641 (2021)
Abstract In massive multiple‐input multiple‐output (MIMO) systems, most of the existing detection work mainly assumes that the channel is the additive white Gaussian noise (AWGN). However, this assumption is difficult to apply to practical commun
Externí odkaz:
https://doaj.org/article/a1c58c4db57e472ca1b486088b3960fb
Publikováno v:
Mathematics, Vol 11, Iss 14, p 3115 (2023)
The industrial internet of things (IIoT) is a key pillar of the intelligent society, integrating traditional industry with modern information technology to improve production efficiency and quality. However, the IIoT also faces serious challenges fro
Externí odkaz:
https://doaj.org/article/adaaa6b239df4482a487a4eb6f82605e
Publikováno v:
Digital Communications and Networks, Vol 7, Iss 1, Pp 131-139 (2021)
This paper aims to effectively solve the problem of the influence maximization in social networks. For this purpose, an influence maximization method that can identify influential nodes via the community structure and the influence distribution diffe
Externí odkaz:
https://doaj.org/article/8020b6ac899c41f8aba6495c9435c055
Publikováno v:
IEEE Access, Vol 8, Pp 20325-20333 (2020)
Cloud-fog-edge computing especially cloud computing is providing a variety of services in many areas around the world and plays a vital role in cyber-physical-social systems (CPSS). Particularly, virtualization is one of main enabling technologies of
Externí odkaz:
https://doaj.org/article/eff040d7554e4aa584885000ea613505
Publikováno v:
IEEE Access, Vol 8, Pp 1705-1714 (2020)
Deep learning has made great progress in image compressive sensing (CS) tasks recently, and several CS models based on it have achieved superior performance. In practice, sensing the entire image requires huge memory and computational effort. Althoug
Externí odkaz:
https://doaj.org/article/7ec0b528019d45dd99eb6285f7942d50
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-12 (2019)
Abstract Compressed sensing (CS) is a signal processing framework, which reconstructs a signal from a small set of random measurements obtained by measurement matrices. Due to the strong randomness of measurement matrices, the reconstruction performa
Externí odkaz:
https://doaj.org/article/8a403d77e24e4e6189172e0d05faf8f3
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2021 (2021)
Externí odkaz:
https://doaj.org/article/8cb6466decf742979e6ce71666e056bf
Publikováno v:
IEEE Access, Vol 7, Pp 78584-78596 (2019)
In the scenario of the vehicle network, the unstable vehicle to vehicle (V2V) connectivity caused by a high-speed vehicle movement is improved through efficient clustering algorithm to some extent. However, in view of the insufficient consideration o
Externí odkaz:
https://doaj.org/article/9b887bda7700489ebf80151c15eaab70