Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Liao Zhifang"'
Autor:
Muhammad Ayoub, Shabir Hussain, Akmal Khan, Muhammad Zahid, Junaid Abdul Wahid, Liao Zhifang, Rukshanda Rehman
Publikováno v:
Pakistan Journal of Engineering & Technology, Vol 5, Iss 1 (2022)
Moringa oleifera, the best known of the thirteen species of the genus Moringacae, has achieved importance due to its multipurpose usage with high nutritional value. There is very little work has been done in the advancement of moringa varieties in Pa
Externí odkaz:
https://doaj.org/article/82bd360a66e04b229cee0d121e5d4b9c
Publikováno v:
MATEC Web of Conferences, Vol 246, p 01117 (2018)
The distribution of water resources in China is uneven. Long distance water conveyance projects have effectively solved this problem. In the water delivery system, the energy dissipator plays an important role in pressure regulation and regulation. T
Externí odkaz:
https://doaj.org/article/22e0a2abdb3b416f9ddff93080e2aa5f
Publikováno v:
In Journal of Radiation Research and Applied Sciences September 2024 17(3)
Autor:
Song, Yucheng a, Wang, Jincan a, Ge, Yifan a, Li, Lifeng b, c, Guo, Jia d, Dong, Quanxing a, Liao, Zhifang a, ⁎
Publikováno v:
In Journal of Visual Communication and Image Representation June 2024 102
Autor:
Ding, Yuhan 1, Yi, Zhenglin 2, Xiao, Jiatong 2, Hu, Minghui 2, Guo, Yu 3, 4, Liao, Zhifang 1, ∗, Wang, Yongjie 3, 4, 5, ∗∗
Publikováno v:
In iScience 19 April 2024 27(4)
Autor:
Lee, Cong a, Liao, Zhifang a, Li, Yuanzhe d, Lai, Qingquan d, Guo, Yingying d, Huang, Jing d, Li, Shuting d, Wang, Yi d, Shi, Ruizheng b, c, ⁎
Publikováno v:
In Computer Methods and Programs in Biomedicine December 2023 242
Publikováno v:
In Computerized Medical Imaging and Graphics October 2023 109
Autor:
Ayoub, Muhammad a, Liao, Zhifang a, Hussain, Shabir b, Li, Lifeng c, Zhang, Chris W.J. d, Wong, Kelvin K.L. d, ⁎
Publikováno v:
In Computerized Medical Imaging and Graphics October 2023 109
As an important part of the power system, power load forecasting directly affects the national economy. The data shows that improving the load forecasting accuracy by 0.01% can save millions of dollars for the power industry. Therefore, improving the
Externí odkaz:
http://arxiv.org/abs/1912.03668
Publikováno v:
In Expert Systems With Applications January 2023 211