Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shaokai Yan"'
Publikováno v:
Sensors, Vol 23, Iss 24, p 9762 (2023)
Accurately predicting the changes in turbine vibration trends is a key part of the operational condition maintenance of hydropower units, which is of great significance for improving both the operational condition and operational efficiency of hydrop
Externí odkaz:
https://doaj.org/article/a5d8106b4751496c9bdbd8a9259a60cc
Publikováno v:
Bulletin of environmental contamination and toxicology. 104(4)
Soil, rock, potable water, animal food and human hair samples were collected from the Dashan village, a typical selenium (Se)-rich area of China. Se content and fraction distribution were determined to trace the source of soil Se and evaluate the pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a02e725265304775c7b528a562e9b90
https://pubmed.ncbi.nlm.nih.gov/32179940
https://pubmed.ncbi.nlm.nih.gov/32179940
Autor:
Xiaolei Zhang, Zhao Dong, Huaying Wang, Xiaohui Sha, Wenjian Wang, Xinyu Su, Zhengsheng Hu, Shaokai Yang
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 2, p 025030 (2023)
Accurate three-dimensional positioning of particles is a critical task in microscopic particle research, with one of the main challenges being the measurement of particle depths. In this paper, we propose a method for detecting particle depths from t
Externí odkaz:
https://doaj.org/article/64cd4768fff443b3a6c7d7f2fc11f30f
Publikováno v:
Agricultural Science & Technology; 2015, Vol. 16 Issue 12, p2829-2832, 4p