Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yujian Yuan"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
Sugarcane plays a vital role in many global economies, and its efficient cultivation is critical for sustainable development. A central challenge in sugarcane yield prediction and cultivation management is the precise segmentation of sugarcane fields
Externí odkaz:
https://doaj.org/article/3968dc66478e4312aa0b796719f38826
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background Amino acid property-aware phylogenetic analysis (APPA) refers to the phylogenetic analysis method based on amino acid property encoding, which is used for understanding and inferring evolutionary relationships between species from
Externí odkaz:
https://doaj.org/article/0e1a8eb55df94e7b871bcdb772783e29
Autor:
Jiali Li, Hewei Wang, Yujian Yuan, Yunhui Fan, Fan Liu, Jingjing Zhu, Qing Xu, Lan Chen, Miao Guo, Zhaoying Ji, Yun Chen, Qiurong Yu, Tianhao Gao, Yan Hua, Mingxia Fan, Limin Sun
Publikováno v:
BMC Neurology, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Previous studies have revealed that low frequency repeated transcranial magnetic stimulation (rTMS) on the contralesional primary motor cortex (cM1) is less effective in severe stroke patients with poor neural structural reserve t
Externí odkaz:
https://doaj.org/article/0782f4159c1345b7b405a7c7fb40f178
Autor:
Zhengxi Wang, Yujian Yuan
Publikováno v:
Highlights in Science, Engineering and Technology. 6:45-52
Since the breakout of COVID-19 pandemic in December 2019, effective modelling of the spreading of the virus has become an essential reference for the epidemic controlling. In a bid to solve the problem of Epidemic prediction, susceptible-exposed-infe
Autor:
Liwei Jing, Lina Yang, Yujian Yuan, Zuqiang Meng, Yifeng Tan, Patrick Shen-Pei Wang, Xichun Li
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence.
Publikováno v:
2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE).
Publikováno v:
Structural Concrete. 21:1106-1122
Publikováno v:
2017 IEEE International Conference on Mechatronics and Automation (ICMA).
In this paper, the method to retrieve significant wave height from marine radar image based on the shadow image is investigated. Currently, the method to obtain wave height is based on the mean square wave steepness of the entire radar image. However