Zobrazeno 1 - 10
of 1 964
pro vyhledávání: '"WANG Jihong"'
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 1, Pp 52-57 (2024)
The real-time transmission of online monitoring data for high-voltage transmission equipment in remote areas is a difficult problem in practical applications due to the lack of network. For this purpose, the article designs an online monitoring syste
Externí odkaz:
https://doaj.org/article/4c41e9e5354b4d8ba40c62938eb7fdff
Autor:
Bea L. Dijkman, Marina Hirjaba, Wenwen Wang, Marjo Palovaara, Marjolein Annen, Merle Varik, Ying’ai Cui, Jing Li, Cornelia van Slochteren, Wang Jihong, Chen Feiteng, Yu Luo, Yudong Chen, Wolter Paans
Publikováno v:
BMC Nursing, Vol 21, Iss 1, Pp 1-12 (2022)
Abstract Background China faces a serious shortage of competent nurses who can address the healthcare needs of older people in an ageing society. Chinese higher education institutes face serious challenges when it comes to developing new curricula th
Externí odkaz:
https://doaj.org/article/6d189f22c3a74bf8972b52732b795ef2
Autor:
Dang, Zhuohang, Luo, Minnan, Wang, Jihong, Jia, Chengyou, Han, Haochen, Wan, Herun, Dai, Guang, Chang, Xiaojun, Wang, Jingdong
Cross-modal retrieval is crucial in understanding latent correspondences across modalities. However, existing methods implicitly assume well-matched training data, which is impractical as real-world data inevitably involves imperfect alignments, i.e.
Externí odkaz:
http://arxiv.org/abs/2408.05503
Autor:
Dang, Zhuohang, Luo, Minnan, Jia, Chengyou, Dai, Guang, Wang, Jihong, Chang, Xiaojun, Wang, Jingdong
Encoding only the task-related information from the raw data, \ie, disentangled representation learning, can greatly contribute to the robustness and generalizability of models. Although significant advances have been made by regularizing the informa
Externí odkaz:
http://arxiv.org/abs/2311.01686
Autor:
Wang, Zefan, Liu, Zichuan, Zhang, Yingying, Zhong, Aoxiao, Wang, Jihong, Yin, Fengbin, Fan, Lunting, Wu, Lingfei, Wen, Qingsong
Large language model (LLM) applications in cloud root cause analysis (RCA) have been actively explored recently. However, current methods are still reliant on manual workflow settings and do not unleash LLMs' decision-making and environment interacti
Externí odkaz:
http://arxiv.org/abs/2310.16340
Publikováno v:
EPJ Web of Conferences, Vol 237, p 04005 (2020)
In this paper the observation of sodium (Na) layer in mesosphere and lower thermosphere (MLT) region over complete diurnal cycles based on broadband Na lidar at Yanqing Station, Beijing, China (40.5°N,116°E ) was reported. Faraday filters with dual
Externí odkaz:
https://doaj.org/article/edcc9b0acdd84bc7b43d6ee00b77bc22
Autor:
Gong Shaohua, Yang Guotao, Wang Jihong, Xun Yuchang, Wu Foju, Li Qinzeng, Liu Xiao, Chen Chunxia, Tian Dawei
Publikováno v:
EPJ Web of Conferences, Vol 237, p 04003 (2020)
We report on the first observation of mesospheric cloud (MC) at the altitude range of 50-65 km with lidars at Yanqing (40.5°N, 116°E) and Pingquan (41°N, 118.7°E) on 30 October 2018. The MC occurred at the 51-56 km altitude range during the hours
Externí odkaz:
https://doaj.org/article/40542f2b76394b2d9de8eea1d89b5c1e
Wave propagation problems are typically formulated as partial differential equations (PDEs) on unbounded domains to be solved. The classical approach to solving such problems involves truncating them to problems on bounded domains by designing the ar
Externí odkaz:
http://arxiv.org/abs/2309.02446
Autor:
Wang, Jihong1 (AUTHOR) wangjihong@gdei.edu.cn, Wang, Xiaodan2 (AUTHOR), Pang, Yuyao2 (AUTHOR)
Publikováno v:
Molecules. Oct2024, Vol. 29 Issue 20, p4829. 14p.