Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Liangshuai Li"'
Autor:
Dang Luo, Liangshuai Li
Publikováno v:
Water Supply, Vol 23, Iss 1, Pp 410-427 (2023)
Drought is one of the major natural disasters in the world, and it is important to understand and grasp the spatiotemporal evolution characteristics of drought for drought monitoring and prevention. In this study, the standardized precipitation evapo
Externí odkaz:
https://doaj.org/article/5e82154dd912490c9e264a0e2756ff8d
Autor:
Dang Luo, Liangshuai Li
Publikováno v:
Water Supply. 23:410-427
Drought is one of the major natural disasters in the world, and it is important to understand and grasp the spatiotemporal evolution characteristics of drought for drought monitoring and prevention. In this study, the standardized precipitation evapo
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-13 (2023)
Abstract In order to solve the problem that the original path forwarding traffic caused by congestion that cannot be recovered in time in Smart Grid Communication, a congestion control scheme RFCC (Router Forwarding Congestion Control) based on path
Externí odkaz:
https://doaj.org/article/d0d4121fc0c24d96be396a2d88f3f231
Publikováno v:
Sensors, Vol 22, Iss 24, p 9773 (2022)
The accurate detection of insulators is an important prerequisite for insulator fault diagnosis. To solve the problem of background interference and overlap caused by the axis-aligned bounding boxes in the tilting insulator detection tasks, we constr
Externí odkaz:
https://doaj.org/article/b8c633faa1ab42b6b8da0d4720621e3b
A New Bolt Defect Identification Method Incorporating Attention Mechanism and Wide Residual Networks
Publikováno v:
Sensors, Vol 22, Iss 19, p 7416 (2022)
Bolts are important components on transmission lines, and the timely detection and exclusion of their abnormal conditions are imperative to ensure the stable operation of transmission lines. To accurately identify bolt defects, we propose a bolt defe
Externí odkaz:
https://doaj.org/article/88e0a6706fcf4dc69517d1dea392c321
Autor:
Huiru Tang, Yan Wang, Bing Zhang, Shiqiu Xiong, Liangshuai Liu, Wei Chen, Guosheng Tan, Heping Li
Publikováno v:
Cancer Cell International, Vol 17, Iss 1, Pp 1-9 (2017)
Abstract Background The aim of this study was to determine whether brain abundant membrane attached signal protein 1 (BASP1) is a valuable prognostic biomarker for cervical cancer and whether BASP1 regulates the progression of cervical cancer. Method
Externí odkaz:
https://doaj.org/article/dcd409d663624c598832f87bae372ec5