Výsledky vyhledávání

Akademický článek

Fog Chamber and Static Detection of Typical Powdered Hygroscopic Catalysts

Autor: Che Yunfei, Liu Xijing, Su Zhengjun, Dang Juan, Fang Chungang, Liu Wei, Li Junxia, Chen Baojun

Publikováno v: 应用气象学报, Vol 35, Iss 6, Pp 704-714 (2024)

Catalysts for warm cloud seeding have significant potential for applications in warm cloud catalytic precipitation and fog elimination. In recent years, numerous innovative materials have been developed, each with the potential to be used in warm clo

Externí odkaz: https://doaj.org/article/48a890fbad354f43a37a7d18f12e5f6c

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Akademický článek

The Current Status and Factors Influencing Long-term Proton Pump Inhibitor Use and Deprescribing among Community Residents

Autor: JING Guanning, ZOU Ying, ZHUO Xiaoqi, SHI Siyan, SONG Yingliu, YAO Mi, CHI Chunhua, LI Junxia

Publikováno v: Zhongguo quanke yixue, Vol 27, Iss 19, Pp 2344-2351 (2024)

Background The potential risks of long-term use of proton pump inhibitor (PPI) and the potentially inappropriate medication are gradually being taken into account, and PPI deprescribing has been widely recognised, but the situation of long-term use o

Externí odkaz: https://doaj.org/article/4b4900bc0a1f4fe78a2a85e4e7752101

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Akademický článek

A pose recognition method for warehouse cleaning robots based on extended Kalman filtering

Autor: LI Guihu, GAO Guijun, LI Junxia, JIA Xuefeng

Publikováno v: Gong-kuang zidonghua, Vol 50, Iss 5, Pp 99-106 (2024)

The lighting intensity of coal mine water storage roadways is uneven and the structured features are obvious. Traditional vision based robot pose recognition methods are not accurate. The single robot positioning techniques such as Adaptive Monte Car

Externí odkaz: https://doaj.org/article/9e68f21a79b04dddbe1b70bb76694d5b

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PointAttN: You Only Need Attention for Point Cloud Completion

Autor: Wang, Jun, Cui, Ying, Guo, Dongyan, Li, Junxia, Liu, Qingshan, Shen, Chunhua

Point cloud completion referring to completing 3D shapes from partial 3D point clouds is a fundamental problem for 3D point cloud analysis tasks. Benefiting from the development of deep neural networks, researches on point cloud completion have made

Externí odkaz: http://arxiv.org/abs/2203.08485