Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Qifeng, Liao"'
Autor:
Yong Wei, Xuli Xin, Jiachun Zhang, Qifeng Liao, Yan Rong, Ying Zhong, Meiying Zhao, Jianping Ma, Song He
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
IntroductionAcinetobacter baumannii (AB) is rising as a human pathogen of critical priority worldwide as it is the leading cause of opportunistic infections in healthcare settings and carbapenem-resistant AB is listed as a “super bacterium” or
Externí odkaz:
https://doaj.org/article/fa5ea739ad0f422b8fe99b3417bc5f63
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 10, Iss 3, Pp 143-148 (2020)
ABSTRACT: In this work, we develop an invertible transport map, called KRnet, for density estimation by coupling the Knothe–Rosenblatt (KR) rearrangement and the flow-based generative model, which generalizes the real-valued non-volume preserving (
Externí odkaz:
https://doaj.org/article/b67bf7495b5a4a02b58e31a2d8d87e16
Publikováno v:
IEEE Access, Vol 8, Pp 5283-5294 (2020)
A state-of-the-art deep domain decomposition method (D3M) based on the variational principle is proposed for partial differential equations (PDEs). The solution of PDEs can be formulated as the solution of a constrained optimization problem, and we d
Externí odkaz:
https://doaj.org/article/1c4809619fd74d03a61924a30899a025
Publikováno v:
Entropy, Vol 25, Iss 2, p 225 (2023)
Tensor completion is a fundamental tool to estimate unknown information from observed data, which is widely used in many areas, including image and video recovery, traffic data completion and the multi-input multi-output problems in information theor
Externí odkaz:
https://doaj.org/article/62de267fc40246b48ba9debf2902d75c
Publikováno v:
Mathematics, Vol 10, Iss 16, p 2878 (2022)
Satellite-based aerosol optical depth (AOD) data are widely used to estimate land surface PM2.5 concentrations in areas not covered by ground PM2.5 monitoring stations. However, AOD data obtained from satellites are typically at coarse spatial resolu
Externí odkaz:
https://doaj.org/article/c6743f2b3d074d88bd460c171836708a
Publikováno v:
IEEE Access, Vol 7, Pp 112087-112096 (2019)
Failure probability evaluation for complex physical and engineering systems governed by partial differential equations (PDEs) are computationally intensive, especially when high-dimensional random parameters are involved. Since standard numerical sch
Externí odkaz:
https://doaj.org/article/a87f90979b7b48e4866275fc9eb3ab81
Publikováno v:
Symmetry, Vol 14, Iss 3, p 556 (2022)
As efficient separation of variables plays a central role in model reduction for nonlinear and nonaffine parameterized systems, we propose a stochastic discrete empirical interpolation method (SDEIM) for this purpose. In our SDEIM, candidate basis fu
Externí odkaz:
https://doaj.org/article/2e4b787e429f4fbd97241ee3adb9ced4
Publikováno v:
E3S Web of Conferences, Vol 245, p 02025 (2021)
Based on the historical data of air ozone monitoring of Pearl River Delta from 2016 to 2020, the temporal and spatial variation characteristics of ozone in the Pearl River Delta were analyzed. The results showed that the mean change curves of Q3 in t
Externí odkaz:
https://doaj.org/article/e8ae3b36cb7341b79cb6ee1d193a5f1d
Autor:
Zhihang Xu, Qifeng Liao
Publikováno v:
Entropy, Vol 22, Iss 2, p 258 (2020)
Optimal experimental design (OED) is of great significance in efficient Bayesian inversion. A popular choice of OED methods is based on maximizing the expected information gain (EIG), where expensive likelihood functions are typically involved. To re
Externí odkaz:
https://doaj.org/article/7117beabd6254ab78b934bc3b05bdbaa
Autor:
Guanjie Wang1 wanggj@shanghaitech.edu.cn, Qifeng Liao1 liaoqf@shanghaitech.edu.cn
Publikováno v:
Numerical Mathematics: Theory, Methods & Applications. Nov2020, Vol. 13 Issue 4, p1007-1026. 20p.