Zobrazeno 1 - 10
of 29
pro vyhledávání: '"JingKun Yan"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Root phenotypic parameters are the important basis for studying the growth state of plants, and root researchers obtain root phenotypic parameters mainly by analyzing root images. With the development of image processing technology, automatic analysi
Externí odkaz:
https://doaj.org/article/e8ad2caeebf24eab92ec8c25fee3c4da
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Plant leaf segmentation, especially leaf edge accurate recognition, is the data support for automatically measuring plant phenotypic parameters. However, adjusting the backbone in the current cutting-edge segmentation model for cotton leaf segmentati
Externí odkaz:
https://doaj.org/article/2748134bcb6f42558268e82809147a46
Publikováno v:
IEEE Access, Vol 8, Pp 34492-34499 (2020)
Solving dynamic Sylvester matrix equations is a prevalent research topic and many methods have been arisen to solve the dynamic Sylvester equation, but few of them consider the noise effect. To investigate the new approach which can suppress the nois
Externí odkaz:
https://doaj.org/article/c332e6424384452b8c855e33f85d70f5
Autor:
Jingjing Liu, Luyao Yu, Chun Wang, Yuefan Zhang, Hangxian Xi, Jinping Si, Lei Zhang, Jingkun Yan
Publikováno v:
Frontiers in Nutrition, Vol 8 (2022)
Dendrobium catenatum polysaccharides (DCPs) have attracted attention due to their multiple physiological activities and health benefits. In this study, a novel water-soluble DCP was obtained from fresh D. catenatum stems through three-phase partition
Externí odkaz:
https://doaj.org/article/188d4c46780145958ee270176e4bf249
Publikováno v:
Foods, Vol 12, Iss 1, p 132 (2022)
Grape is a fruit rich in various vitamins, and grape quality is increasingly highly concerned with by consumers. Traditional quality inspection methods are time-consuming, laborious and destructive. Near-infrared spectroscopy (NIRS) and hyperspectral
Externí odkaz:
https://doaj.org/article/ddf4344f0dd2409bb5acea21f3763df0
Publikováno v:
IEEE Access, Vol 7, Pp 41517-41524 (2019)
As a crucial means for stability analysis in control systems, the Lyapunov equation is applied in many fields of science and engineering. There are some methods proposed and studied for solving the non-stationary Lyapunov equation, such as the zeroin
Externí odkaz:
https://doaj.org/article/b47c225086e44c20b59077edaec77e51
Autor:
Weimin Liu, Weiwei Yang, Juan Wu, Yu Cheng, Zhencheng Wei, Tao Wang, Kwame Attafuah Ampofo, Haile Ma, Fengjie Cui, Xiaoming Yang, Jingkun Yan, Liuqing Yang, Hao Zhang
Publikováno v:
Journal of Food Quality, Vol 2021 (2021)
Mycelial polysaccharides from Grifola frondosa have shown potential for the prevention of chronic diseases. Atmospheric and room temperature plasma (ARTP) technology was used to enhance the ability of G. frondosa to efficiently utilize a mixture of r
Externí odkaz:
https://doaj.org/article/e5c64a7c9b9d4c48b5234ab65c1cd513
Autor:
Zhaoxin Lu, Zhenlian Chen, Muqin Wang, Yi Wan, Jingkun Yan, Shuaishuai Chen, Yan Shen, Zhao Yan, Deyu Wang
Publikováno v:
ACS Applied Energy Materials. 6:2541-2549
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::504e7906dad833c79b9272cf48e60ab0
https://doi.org/10.1021/acsaem.2c04006
https://doi.org/10.1021/acsaem.2c04006
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24a72b537407ca2b381d7efc0a8c8b6e
https://doi.org/10.1109/tnnls.2023.3263565
https://doi.org/10.1109/tnnls.2023.3263565
Publikováno v:
International Journal of Biological Macromolecules. 204:169-192
Naturally occurring carbohydrate polymers containing non-starch polysaccharides (NPs) are a class of biomacromolecules isolated from plants, marine algae, and edible mushrooms, and their biological activities has shown potential uses in the preventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a923dfb4a3d291a41ba77cd0761c05
https://doi.org/10.1016/j.ijbiomac.2022.01.166
https://doi.org/10.1016/j.ijbiomac.2022.01.166