Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Yanni Tang"'
Publikováno v:
Applied Water Science, Vol 14, Iss 6, Pp 1-10 (2024)
Abstract Reducing the impact of artificial neural networks (ANN) affected by sources of uncertainty is crucial to improving the reliability of the flood prediction model. This study proposes an ensemble artificial neural network (EANN) model to predi
Externí odkaz:
https://doaj.org/article/6fc172e1a7dd45bb88209cc2bfb1e3b6
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2271 (2023)
Soil salinization is a common abiotic stress that seriously affects soybean growth and yield, underscoring the need to enhance plant salt tolerance for sustainable agriculture development. Selenium is a beneficial element that has been shown to promo
Externí odkaz:
https://doaj.org/article/c47dbbc0376441edb907069422219650
Autor:
Yanni Tang, Yingjie Zhou, Pengwei Wang, Liqiang Ge, Wei Lou, Xiang Yan, Shiqian Li, Xu Wang, Chengxiao Hu, Xiaohu Zhao
Publikováno v:
Journal of Agricultural & Food Chemistry; 7/31/2024, Vol. 72 Issue 30, p16624-16637, 14p
Publikováno v:
Optoelectronics Letters. 17:385-389
According to optical diffraction limit, the photoresponsity of nanowire (NW)-based photodetector exponentially decreases when its NW diameter reduces to the range of deep subwavelength. In this paper, we demonstrate a photoresponse-enhanced method of
Publikováno v:
Information Sciences. 551:1-22
The formation of public opinions is a complex phenomenon that revolves around the aggregation of individuals’ beliefs. To accurately capture this phenomenon, one needs to build links from individualistic experiences to personal beliefs, which evolv
Autor:
Min Nie, Miaomiao Cai, Chihhung Wu, Shiqian Li, Suhua Chen, Guangyu Shi, Xu Wang, Chengxiao Hu, Jiatao Xie, Yanni Tang, Huan Zhang, Xiaohu Zhao
Publikováno v:
Journal of Hazardous Materials. :131713
Publikováno v:
Environmental Pollution. 323:121272
Publikováno v:
American journal of health behavior. 45(6)
Objectives: In this paper, we explore the effects of breathing meditation training on the sustained attention level, mindfulness attention awareness level, and mental state of nurses in the operating room. Methods: We enrolled 40 nurses from Septembe
Publikováno v:
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture.
Publikováno v:
Journal of Cleaner Production. 380:134960