Zobrazeno 1 - 10
of 751
pro vyhledávání: '"Di, Shi"'
Autor:
Yibo Han, Hongtao Ma, Yapeng Wang, Di Shi, Yanggang Feng, Xianzhong Li, Yanjun Shi, Xilun Ding, Wuxiang Zhang
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-17 (2024)
Abstract The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial settings. Complex modeling errors of the exoskeleton in different application scenarios pose challenges to the robustness and stabilit
Externí odkaz:
https://doaj.org/article/f6331577570b4f8f8f6a5bdca5779037
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-6 (2024)
Abstract Background Early, rapid, and accurate pathogen diagnosis can help clinicians select targeted treatment options, thus improving prognosis and reducing mortality rates of severe pneumonia. Metagenomic next-generation sequencing (mNGS) has a hi
Externí odkaz:
https://doaj.org/article/61f726dc0ca74ff0965746fc517b9a06
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-4 (2024)
Abstract Background Cytomegalovirus infection manifests varying clinical characteristics and severity in diverse populations with different immune statuses. The signs and symptoms of gastrointestinal involvement are nonspecific. Here, we present a ca
Externí odkaz:
https://doaj.org/article/a9d5dc35ecd04aa68dba2bd03edbbaf5
Publikováno v:
BMJ Open Ophthalmology, Vol 9, Iss 1 (2024)
Objectives Train an automatic retinal image analysis (ARIA) method to screen glaucomatous optic neuropathy (GON) on non-mydriatic retinal images labelled with the additional results of optical coherence tomography (OCT) and assess different models fo
Externí odkaz:
https://doaj.org/article/4ec75f7a23cf4a91ad394977afce6590
Autor:
Yunfei Liu, Youxin Wang, Yunfei Xing, Maike Wolters, Di Shi, Pingping Zhang, Jiajia Dang, Ziyue Chen, Shan Cai, Yaqi Wang, Jieyu Liu, Xinxin Wang, Haoyu Zhou, Miao Xu, Lipo Guo, Yuanyuan Li, Jieyun Song, Jing Li, Yanhui Dong, Yanchun Cui, Peijin Hu, Antje Hebestreit, Hai-Jun Wang, Li Li, Jun Ma, Yee Hui Yeo, Hui Wang, Yi Song
Publikováno v:
The Lancet Regional Health. Western Pacific, Vol 49, Iss , Pp 101150- (2024)
Summary: Background: The prevalence of metabolic-associated steatotic liver disease (MASLD) is rising precipitously among children, particularly in regions or countries burdened with high prevalence of obesity. However, identifying those at high risk
Externí odkaz:
https://doaj.org/article/e33b633627024958a9cc503c77e2680f
Autor:
Bai-di, Shi1 (AUTHOR), Yong-feng, Jiang2 (AUTHOR) jiangyf@hhuc.edu.cn, Jing-yu, Shang1 (AUTHOR), Ye-feng, Bao2 (AUTHOR), Bing-yan, Chen2 (AUTHOR), Ke, Yang2 (AUTHOR), Bracale, Antonio (AUTHOR)
Publikováno v:
Journal of Electrical & Computer Engineering. 8/13/2024, Vol. 2024, p1-17. 17p.
Leveraging AI for Enhanced Power Systems Control: An Introductory Study of Model-Free DRL Approaches
Publikováno v:
IEEE Access, Vol 12, Pp 98189-98206 (2024)
The power grids nowadays are facing increasing complexity and uncertainty due to the continuously growing penetration of renewable energy sources, such as photovoltaic (PV) and wind power, as well as the emerging uncertain and dynamic nature of deman
Externí odkaz:
https://doaj.org/article/eab1a4ff2753473d9860b89b1c7ca668
Autor:
Zihan Xu, Ying Wang, Li Xie, Di Shi, Jia He, Yanqing Chen, Chenglian Feng, John P. Giesy, Kenneth M.Y. Leung, Fengchang Wu
Publikováno v:
Environmental Science and Ecotechnology, Vol 22, Iss , Pp 100472- (2024)
Currently, chemicals and waste are recognized as key drivers of habitat degradation and biodiversity loss in aquatic ecosystems. To ensure vibrant habitats for aquatic species and maintain a sustainable aquatic food supply system, Japan promulgated i
Externí odkaz:
https://doaj.org/article/d9d86480f9364a6eac89f24d199b0698
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 2, Pp 495-513 (2023)
Abstract Permeability assessment of naturally fractured rocks and fractured rocks after fracturing is critical to the development of oil and gas resources. In this paper, based on the discrete fracture network (DFN) modeling method, the conventional
Externí odkaz:
https://doaj.org/article/6f08626a933248c798671bfbcf165188
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 21, Pp 4826-4835 (2023)
Abstract Deep Reinforcement Learning (DRL) has shown promise for voltage control in power systems due to its speed and model‐free nature. However, learning optimal control policies through trial and error on a real grid is infeasible due to the mis
Externí odkaz:
https://doaj.org/article/fad7e55f4f7b4104b0784093160df8b8