Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Zufan ZHANG"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1375-1386 (2024)
Signal detection plays an essential role in massive Multiple-Input Multiple-Output (MIMO) systems. However, existing detection methods have not yet made a good tradeoff between Bit Error Rate (BER) and computational complexity, resulting in slow conv
Externí odkaz:
https://doaj.org/article/ef01ba22de234f18be68df5c33412f83
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
Autor:
Zhaomei Lu, Sheng He, Muhammad Kashif, Zufan Zhang, Shuming Mo, Guijiao Su, Linfang Du, Chengjian Jiang
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract Background Phosphorus is one of the essential nutrients for plant growth. Phosphate-solubilizing microorganisms (PSMs) can alleviate available P deficiency and enhance plant growth in an eco-friendly way. Although ammonium toxicity is widesp
Externí odkaz:
https://doaj.org/article/d42eea7c20a34070bd17b403ccdbd3a6
Autor:
Zufan ZHANG, Rui TANG
Publikováno v:
Tongxin xuebao, Vol 44, Pp 78-88 (2023)
In the IRS-aided THz communication system, in order to break the channel sparsity limitation on the system spatial multiplexing gain, a hybrid beam forming architecture with wide-spaced multi-subarrays at the transceiver/transmitter side was proposed
Externí odkaz:
https://doaj.org/article/754efc7b4661459d99405a0e70c2865c
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:
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
Autor:
Zufan Zhang, Shiqing Nie, Yimeng Sang, Shuming Mo, Jinhui Li, Muhammad Kashif, Guijiao Su, Bing Yan, Chengjian Jiang
Publikováno v:
Microbiology Spectrum, Vol 10, Iss 3 (2022)
ABSTRACT Nitrogen fixation (NF) and phosphorus solubilization (PS) play a key role in maintaining the stability of mangrove ecosystems. In China, the invasion of Spartina alterniflora has brought a serious threat to the mangrove ecosystem. However, s
Externí odkaz:
https://doaj.org/article/00e02a85f4e14b4ebb3c6a01290dfa69
Autor:
JinHui Li, Yimeng Sang, Sen Zeng, Shuming Mo, Zufan Zhang, Sheng He, Xinying Li, Guijiao Su, Jianping Liao, Chengjian Jiang
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
With the upgrade and development of the high-throughput sequencing technology, multi-omics data can be obtained at a low cost. However, mapping tools that existed for microbial multi-omics data analysis cannot satisfy the needs of data description an
Externí odkaz:
https://doaj.org/article/a829761e9cbd4e47a841c82986e33b9a
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