Zobrazeno 1 - 10
of 102
pro vyhledávání: '"XiaoYing Ren"'
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 12, Pp 5566-5589 (2024)
ABSTRACT The variability and unpredictability of wind power generation present significant challenges for grid management and planning. Enhancing the accuracy of wind power forecasting is crucial for improving the reliability of renewable energy syst
Externí odkaz:
https://doaj.org/article/644f0b24706248daa695c0a344b09723
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background Refractory exit-site infections (ESIs) and tunnel infections (TIs) are challenging complications for patients undergoing peritoneal dialysis (PD). This study compared the outcomes of surgical intervention, notably the cuff-shaving
Externí odkaz:
https://doaj.org/article/a5a15c85b13f4244a993b05736ed149f
Autor:
Zijian Fu, Fei Zhang, Xiaoying Ren, Bin Hao, Xinyi Zhang, Chenglong Yin, Gui Li, Yongwei Zhang
Publikováno v:
IEEE Access, Vol 12, Pp 135985-135998 (2024)
A novel approach for detecting small targets of wind turbine blade surface damage, particularly minute defects within intricate scenes depicted in low-resolution images, is introduced through the utilization of an enhanced YOLO-v7 algorithm. The meth
Externí odkaz:
https://doaj.org/article/434c7422d7ad43d686555ee25976b8f5
Publikováno v:
Advanced Materials Interfaces, Vol 11, Iss 11, Pp n/a-n/a (2024)
Abstract This study describes a novel stretchable and very sensitive strain gauge enabled by laser‐joining carbon nanotubes, resulting in unique architectures forming macroscopic web networks. The stiffness of the resistive strain sensor created by
Externí odkaz:
https://doaj.org/article/7a5e658aefef4bff995b66634e87ce97
Publikováno v:
水下无人系统学报, Vol 31, Iss 5, Pp 735-745 (2023)
In order to solve the problem of insufficient target discrimination and spatial resolution caused by the limited aperture of a bicircular array in the aerial sonar system, a virtual array transform method that could expand the aperture of the bicircu
Externí odkaz:
https://doaj.org/article/905609f674154ef9a5945ec326f7b4a8
Publikováno v:
Energies, Vol 17, Iss 16, p 4026 (2024)
Accurate and reliable PV power probabilistic-forecasting results can help grid operators and market participants better understand and cope with PV energy volatility and uncertainty and improve the efficiency of energy dispatch and operation, which p
Externí odkaz:
https://doaj.org/article/79d11d755a2747359d251477b94d857a
Publikováno v:
Renal Failure, Vol 45, Iss 2 (2023)
Background Conscious sedation anesthesia (CSA) is an anesthetic method during peritoneal dialysis catheter implantation. However, lack of optimal CSA strategies for patients with end-stage renal disease (ESRD). This study aimed to evaluate the analge
Externí odkaz:
https://doaj.org/article/c0c1a9fb6367418895f79b40a2dcc21c
Autor:
Yu Huang, Haiyue Liu, Shuhui Dai, Xiaoying Lan, Shuojie Liu, Xiaoying Ren, Chaoyang Huang, Xun Li, Guolin Hong
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19400- (2023)
Objectives: To evaluate a two-test strategy for HIV screening in the low-prevalence population and to assess the feasibility of utilizing the optimal signal-to-cutoff (S/CO) threshold on the chemiluminescence immunoassay(CMIA) and an additional rapid
Externí odkaz:
https://doaj.org/article/8e3998f190ef44ab9b1b0e3a9b3fce3e
Publikováno v:
Energies, Vol 17, Iss 6, p 1287 (2024)
This paper presents a novel approach for optimizing wind farm control through the utilization of a combined model predictive control method. In contrast to conventional methods of controlling active and reactive power in wind farms, the suggested app
Externí odkaz:
https://doaj.org/article/b334c879127b4aa786f9493d5e89cc2b
Publikováno v:
Energies, Vol 17, Iss 5, p 1183 (2024)
With a large proportion of wind farms connected to the power grid, it brings more pressure on the stable operation of power systems in shorter time scales. Efficient and accurate scheduling, operation control and decision making require high time res
Externí odkaz:
https://doaj.org/article/e9d1c8604f0048b7a43f9882ae42156c