Zobrazeno 1 - 10
of 577
pro vyhledávání: '"Li Jianfei"'
Autor:
Li Jianfei, Wang Ying, Zhou Zhongxiang, Yao Jingfeng, Liu Jianlong, Lan Zhihao, Yuan Chengxun
Publikováno v:
Nanophotonics, Vol 12, Iss 10, Pp 1847-1856 (2023)
The plasma sheath causes the spacecraft’s communication signal to attenuate dramatically during the re-entry period, which seriously threatens the astronauts. However, valid experimental protocols have not been obtained hitherto. To realize the pro
Externí odkaz:
https://doaj.org/article/159b917be6e549b4a0af0a533d1942c0
Autor:
Ma Feiju, Li Jianfei
Publikováno v:
Romanian Journal of Laboratory Medicine, Vol 30, Iss 3, Pp 305-314 (2022)
Background: Anti-neutrophil cytoplasmic antibody-associated small-vessel vasculitis (AASV) is an autoimmune disease with unclear pathogenesis, which causes damage to multiple organs and systems, renal failure or even death. We aimed to explore the ex
Externí odkaz:
https://doaj.org/article/ab4c036d52b34b0ab02afe2b36a201b4
Publikováno v:
康复学报, Vol 31, Pp 425-430 (2021)
Objective: To observe the effects of sling exercise combined with massage in patients with neck type cervical spondylopathy (NTCS) by using surface electromyography (sEMG), and to explore the short-term effects on neck pain, neck disabilities and mus
Externí odkaz:
https://doaj.org/article/aa7e98a43cf04fa2a037511923be1d96
In this work, we explore the intersection of sparse coding theory and deep learning to enhance our understanding of feature extraction capabilities in advanced neural network architectures. We begin by introducing a novel class of Deep Sparse Coding
Externí odkaz:
http://arxiv.org/abs/2408.05540
In this paper, we explore the approximation theory of functions defined on graphs. Our study builds upon the approximation results derived from the $K$-functional. We establish a theoretical framework to assess the lower bounds of approximation for t
Externí odkaz:
http://arxiv.org/abs/2407.01281
Publikováno v:
Jixie chuandong, Vol 42, Pp 83-87 (2018)
The fault signal and information of rolling bearing is often drowned in the noise,the traditional extraction of bearing fault feature methods are difficult to effectively extract the bearing fault feature. The SNR of blind source separation,combing t
Externí odkaz:
https://doaj.org/article/d2572779eaf8424f9f536f49d8431441
Autor:
Pan, Mianzhi, Li, Jianfei, Yu, Mingyue, Ma, Zheng, Cheng, Kanzhi, Zhang, Jianbing, Chen, Jiajun
Commonsense reasoning, the ability to make logical assumptions about daily scenes, is one core intelligence of human beings. In this work, we present a novel task and dataset for evaluating the ability of text-to-image generative models to conduct co
Externí odkaz:
http://arxiv.org/abs/2312.07294
The twig edge states in graphene-like structures are viewed as the fourth states complementary to their zigzag, bearded, and armchair counterparts. In this work, we study a rod-in-plasma system in honeycomb lattice with twig edge truncation under ext
Externí odkaz:
http://arxiv.org/abs/2311.08733
The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network models and suggests aggregations beyond the 1-hop neighborhood. In this paper, we develop a new way
Externí odkaz:
http://arxiv.org/abs/2306.04265
Autor:
Li, Jianfei, Zhou, Chen, Yyao, Jingfeng, Yuan, Chengxun, Wang, Ying, Zhou, Zhongxiang, Zhang, Jingwen, Kudryavtsev, Anatoly A.
Publikováno v:
Plasma Science and Technology, vol. 25, no. 3, pp. 035001, January 2023
Plasma photonic crystals designed in this paper are composed of gas discharge tubes to control the flow of electromagnetic waves. The band structures calculated by the finite element method are consistent with the experimental results in that two dis
Externí odkaz:
http://arxiv.org/abs/2303.12184