Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zongfu Zhang"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1447 (2023)
High dimension and complexity of network high-dimensional data lead to poor feature selection effect network high-dimensional data. To effectively solve this problem, feature selection algorithms for high-dimensional network data based on supervised
Externí odkaz:
https://doaj.org/article/098b43d780d94124a9d53d27df175b4a
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 17:1-27
Crowdsourcing techniques have been extensively explored in the past decade, including task allocation, quality assessment, and so on. Most of professional crowdsourcing platforms adopt the fixed pricing scheme to offer a fixed price for crowd tasks.
Publikováno v:
Evolutionary Intelligence.
This paper studies the identification method of the underlying network potential dangerous data in the cloud storage system, and puts forward a deep mining method of the underlying network potential dangerous data. In order to solve the problem of ge
Publikováno v:
Science China Physics, Mechanics & Astronomy. 57:1676-1683
Internal magnetic gradient plays a significant role in Nuclear Magnetic Resonance (NMR) measurements of fluid saturated porous media. The quantitative characterization and application of this physical phenomenon could effectively improve the accuracy
Autor:
Lizhi Xiao, Zongfu Zhang, Tianlin An, Vladimir Anferov, Fangrong Zong, Huabing Liu, Feng Deng, Sofia Anferova
Publikováno v:
Microporous and Mesoporous Materials. 178:90-93
Multi-dimensional NMR experiments at two magnetic field strengths (2 and 23 MHz) are presented in this paper to study the dependence of effective internal gradients in water-saturated sandstone plugs. Special pulse sequence is designed to encode long
Autor:
Baoxin Guo, Feng Deng, Huabing Liu, Vladimir Anferov, Lizhi Xiao, Zongfu Zhang, Sofia Anferova, Huijun Yu, Fangrong Zong
Publikováno v:
Petroleum Science. 10:402-407
Heavy oil is a complicated mixture and a potential resource and has attracted much attention since the end of last century. It is important to characterize the composition of heavy oil to enhance its recovery efficiency. A designed unilateral Nuclear
Autor:
Huabing Liu, Feng Deng, Tianlin An, Qingming Xie, Jiajie Cheng, Wei Xu, Mengying Wang, Lizhi Xiao, Zongfu Zhang, Vladimir Anferov
Publikováno v:
Applied Magnetic Resonance. 44:1053-1065
Nuclear magnetic resonance (NMR) under motion has drawn significant attention in recent years. Motion of the NMR probe has serious effects on NMR measurement. For example, NMR logging normally runs at downhole condition with tool motion at a speed of
Autor:
Xin Li, Feng Deng, Lizhi Xiao, Zongfu Zhang, Tianlin An, Sofia Anferova, Huabing Liu, Vladimir Anferov
Publikováno v:
Applied Magnetic Resonance. 44:849-857
Three-dimensional (3-D) nuclear magnetic resonance (NMR) experiments reflect material structure, such as physical array of porous media and chemical compositions of complex fluids. However, a huge database is acquired in multi-dimensional NMR and obs
Autor:
Lizhi Xiao, Zongfu Zhang, Vladimir Anferov, Baoxin Guo, Huijun Yu, Fangrong Zong, Sofia Anferova, Huabing Liu, Xin Li
Publikováno v:
Applied Magnetic Resonance. 44:543-552
Combination of two-dimensional nuclear magnetic resonance (2-D NMR) correlation maps and a simple three-component model are proposed here to identify the structural composition of porous media. Homogeneous magnetic field and field with constant gradi
Autor:
Zongfu Zhang, Bin Yang
Publikováno v:
International Journal of Simulation: Systems, Science & Technology; 2015, Vol. 16 Issue 1B, p19.1-19.5, 5p