Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Haiying Bai"'
Autor:
Kaixue Zhang, Menglin Yan, Shu Han, Longfei Cong, Liyao Wang, Liu Zhang, Lili Sun, Haiying Bai, Guanhua Wei, Hong Du, Min Jiang, Gang Bai, Zhigang Yang
Publikováno v:
Molecules, Vol 24, Iss 19, p 3536 (2019)
This research aimed to discover chemical markers for discriminating radix Angelica sinensis (RAS) from different regions and to explore the differences of RAS in the content of four active compounds and anti-inflammatory activities on lipopolysacchri
Externí odkaz:
https://doaj.org/article/cc52cd0afaf9463d910702e838afceef
Autor:
Liyao Wang, Kaixue Zhang, Shu Han, Liu Zhang, Haiying Bai, Fang Bao, Yan Zeng, Jiyong Wang, Hong Du, Yingqian Liu, Zhigang Yang
Publikováno v:
Molecules, Vol 24, Iss 10, p 1923 (2019)
Licorice, the root and rhizome of Glycyrrhiza uralansis Fisch, is one of the most frequently used Traditional Chinese Medicines in rigorous clinical trials to remove toxins and sputum, and to relieve coughing. However, the aerial parts are not used s
Externí odkaz:
https://doaj.org/article/ecc0b18fd81d4315b36451dc1f618904
Autor:
Haiying Bai
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2022 (2022)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Facing the fierce market competition, enterprises not only need a deeper understanding and concept renewal in marketing theory but also need a set of standardized, practical, and efficient technical means and methods. Therefore, it is urgent to devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ec738ebd17224eb66b8c356a8747aed
https://doaj.org/article/1e1a004013714f1398ade09ab8ed537c
https://doaj.org/article/1e1a004013714f1398ade09ab8ed537c
Autor:
Haiying Bai, Zhao Xiong, Fenfen Zhou, Jia-Mei Qin, Shi-Lian Wen, Zhimei Li, Yong Chen, Qian-Yong Cao
Publikováno v:
Dyes and Pigments. 206:110652
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c970020b6b40c9cb616515ab35721b4
https://doi.org/10.1016/j.dyepig.2022.110652
https://doi.org/10.1016/j.dyepig.2022.110652
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 7:308-315
In this paper, we autonomously define an optimal, efficient image-processing tree for extracting the cracks from concrete images using genetic programming (GP)-oriented evolutionary image processing known as Automatic Construction of Tree-structural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad91c44ca950fbf1c23f0b27d5b97856
https://doi.org/10.1002/tee.21732
https://doi.org/10.1002/tee.21732
Publikováno v:
Frontiers of Chemical Science and Engineering. 5:209-214
The hydrogen fuel cell is a promising option as a future energy resource and the production of hydrogen is mainly depended on fossil fuels now. In this paper, methanol reforming to produce H2 through dielectric-barrier discharge (DBD) plasma reaction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d832ef8d8d388973e333ac0496270af9
https://doi.org/10.1007/s11705-010-1018-3
https://doi.org/10.1007/s11705-010-1018-3
Publikováno v:
ISDA
Using well-established techniques of Genetic Programming (GP), we automatically optimize image feature filters over several inputs and within transformation images, improving the Automatic Construction of Tree-Structural Image Transformation (ACTIT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c9b60eac69f47d8c75833d32157b92
https://doi.org/10.1109/isda.2010.5687249
https://doi.org/10.1109/isda.2010.5687249
Publikováno v:
2010 10th International Conference on Intelligent Systems Design & Applications (ISDA); 2010, p302-307, 6p