Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Liufei Yang"'
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34065- (2024)
Synchronization in complex networks is a ubiquitous and important phenomenon with implications in various fields. Excessive synchronization may lead to undesired consequences, making desynchronization techniques essential. Exploiting the Proximal Pol
Externí odkaz:
https://doaj.org/article/de4723b5ee5d441dab497b726820eff7
Autor:
Haidong Wei, Luming Zhen, Shiquan Wang, Liufei Yang, Shuyue Zhang, Yuanyuan Zhang, Pengyu Jia, Tianyue Wang, Kui Wang, Yan Zhang, Lei Ma, Jianrui Lv, Pengbo Zhang
Publikováno v:
Journal of Neuroinflammation, Vol 20, Iss 1, Pp 1-22 (2023)
Abstract Background Lipid metabolism has a crucial role in neural repair in neurodegenerative diseases. We recently revealed that lipogenesis-mediated interleukin-33 (IL-33) upregulation lead to blood–brain barrier (BBB) repair after ischemic strok
Externí odkaz:
https://doaj.org/article/af35528c022b43ec95c14f8183df117c
Autor:
Yuanyuan Zhang, Pengyu Jia, Kui Wang, Yan Zhang, Yuying Lv, Pei Fan, Liufei Yang, Shuyue Zhang, Tianyue Wang, Jing Zhao, Haixia Lv, Xinlin Chen, Yong Liu, Haidong Wei, Pengbo Zhang
Publikováno v:
Brain Research Bulletin. 195:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08b3e86bbb3fd75a979076eb2e535682
https://doi.org/10.1016/j.brainresbull.2023.02.002
https://doi.org/10.1016/j.brainresbull.2023.02.002
Autor:
Pei Fan, Yuying Lu, Haidong Wei, Kui Wang, Pengyu Jia, Yuanyuan Zhang, Yan Zhang, Tianyue Wang, Liufei Yang, Jing Zhao, Shuyue Zhang, Haixia Lu, Xinlin Chen, Yong Liu, Pengbo Zhang
Publikováno v:
Metabolic Brain Disease.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac6c3dc4b0188f20af60f648abf56f78
https://doi.org/10.1007/s11011-023-01218-2
https://doi.org/10.1007/s11011-023-01218-2
Publikováno v:
2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.
In this paper, the signal model and expression in time domain of DS-UWB signal are introduced, and an approach using eigen-analysis of correlation matrix for DS-UWB signal is proposed to blindly estimate the PN sequence and several parameters in low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe46177c6f9dfdbd986cc34dff68f2b
https://doi.org/10.1109/wicom.2009.5305365
https://doi.org/10.1109/wicom.2009.5305365
Publikováno v:
2009 International Conference on Communication Software and Networks.
A kind of method which is based on the reprocessing power spectrum density of signals is proposed. In the situation of deficient prior knowledge of received UWB signals, the difficult problem of detecting its PN period can be effectively solved. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8adead894d0288997c24e2dd1954936
https://doi.org/10.1109/iccsn.2009.124
https://doi.org/10.1109/iccsn.2009.124
Publikováno v:
2008 Congress on Image and Signal Processing.
This paper introduces an on-line unsupervised LEArning neural network (NN) for adaptive feature extraction via Principal component analysis (LEAP) of lower signal to noise ratios (SNR) direct sequence code-division multiple-access (DS-CDMA) signals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b8fb8d052bed275a71459f28ea1ad3
https://doi.org/10.1109/cisp.2008.140
https://doi.org/10.1109/cisp.2008.140
Publikováno v:
CIS
In this paper, we present an ID-based signature scheme that is proved to be secure in the random oracle model under the hardness assumption of k-CAA problem. The proposed scheme upholds all desirable properties of previous IBS schemes, and requires g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb21b7eb8ab2bab801f33116efb5405
https://doi.org/10.1109/cis.2007.90
https://doi.org/10.1109/cis.2007.90
Publikováno v:
CIS
This paper proposes a modified Sanger's generalized Hebbian neural network method to estimate and track the pseudo noise sequence of weak direct sequence spread spectrum signals. The proposed method is based on eigen-analysis of received signals. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df60a76ddcbc5414bd660fd6ac2053b5
https://doi.org/10.1109/cis.2007.127
https://doi.org/10.1109/cis.2007.127
Publikováno v:
2009 International Conference on Communication Software & Networks; 2009, p270-274, 5p