Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Fengda Zhao"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract Accurate and reliable prediction of porosity forms the foundational basis for evaluating reservoir quality, which is essential for the systematic deployment of oil and gas exploration and development plans. When data quality of samples is lo
Externí odkaz:
https://doaj.org/article/a8951472c9ea400f8f7b82540b97b11c
Publikováno v:
Pharmaceutical Biology, Vol 59, Iss 1, Pp 1533-1539 (2021)
Context Astragalus polysaccharin (APS), an extract of Astragalus propinquus Schischk, exerts antitumor effects in hepatocellular carcinoma (HCC). Objective This study investigated the mechanism of action of APS in HCC. Materials and methods Tumour-as
Externí odkaz:
https://doaj.org/article/ce5365ee7a1747e29692923991251e4e
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 10, Iss 1, Pp 217-231 (2019)
Abstract Oil–water two-phase flow in horizontal oil-producing wells with low velocity and high water cut generally presents the phenomenon that the underlayer shows water flow and the upperlayer presents oil flow or a dispersion of oil in water flo
Externí odkaz:
https://doaj.org/article/68aea06883704d208316c2e8afe244b4
Publikováno v:
IEEE Access, Vol 7, Pp 66215-66225 (2019)
This paper proposes an automatic scale-adaptive approach with attention mechanism-based crowd spatial information addressing the crowd counting task, i.e. a novel cascaded crowd counting network. The proposed network is composed of a classification s
Externí odkaz:
https://doaj.org/article/5ef5c28c9f5c47f9aeeb5a3c4ca5f1df
Autor:
Lei Li, Lingfu Kong, Beibei Xie, Xin Fang, Weihang Kong, Xingbin Liu, Yanjun Wang, Fengda Zhao
Publikováno v:
Applied Sciences, Vol 9, Iss 2, p 346 (2019)
In the process of production logging interpretation, a water cut is one of the key factors to obtain the oil phase content in the oil well. In order to measure the water cut of the horizontal oil⁻water two-phase flow with low yield, the response ch
Externí odkaz:
https://doaj.org/article/f3ad8a661ace4c65a5f67cc36094ef7a
Publikováno v:
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 18
In the field of skeleton-based human behavior recognition, graph convolutional neural networks have made remarkable achievements. However, high precision networks are often accompanied by numerous parameters and computational cost, and their applicat
Publikováno v:
Multimedia Tools and Applications. 81:4821-4838
Recently, skeleton-based action recognition has modeled the human skeleton as a graph convolution network (GCN), and has achieved remarkable results. However, most of the methods convolute directly on the whole graph, neglecting that the human skelet
Publikováno v:
Geoenergy Science and Engineering. 223:211562
Publikováno v:
Pharmaceutical Biology
article-version (VoR) Version of Record
Pharmaceutical Biology, Vol 59, Iss 1, Pp 1533-1539 (2021)
article-version (VoR) Version of Record
Pharmaceutical Biology, Vol 59, Iss 1, Pp 1533-1539 (2021)
Context Astragalus polysaccharin (APS), an extract of Astragalus propinquus Schischk, exerts antitumor effects in hepatocellular carcinoma (HCC). Objective This study investigated the mechanism of action of APS in HCC. Materials and methods Tumour-as
Publikováno v:
International Journal of Computers, Communications & Control; Jun2023, Vol. 18 Issue 3, p1-15, 15p