Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Binfang He"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7124-7134 (2023)
To improve the finesse of the temperature-humidity index (THI), this study applies four machine learning methods in THI downscaling, including multiple linear regression, random forest (RF), support vector machine, and gradient boosting machine. The
Externí odkaz:
https://doaj.org/article/47c95e18c5194e5a94b6061f8cabe49d
Autor:
Yanfeng Huo, Dongping Bai, Lin Liu, Zizhen Dong, Shangpei Xun, Binfang He, Wenyu Wu, Xintong Chen, Hongqun Zhang
Publikováno v:
Environmental Research Communications, Vol 5, Iss 9, p 095013 (2023)
The multidecadal changes of dust column mass density (DCMD) in Gobi desert (GD) in spring are investigated based on the Modern-Era Retrospective analysis for Research and Applications version 2 dataset. In addition, the possible effects of the atmosp
Externí odkaz:
https://doaj.org/article/ec6f3bd3357149d6a8e1477c732975c5
Autor:
Shuqun Li, Hao Hu, Chenggege Fang, Sichen Wang, Shangpei Xun, Binfang He, Wenyu Wu, Yanfeng Huo
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3882 (2022)
Accurate atmospheric temperature and moisture profiles are essential for weather forecasts and research. Satellite-based hyperspectral infrared observations are meaningful in detecting atmospheric profiles, especially over oceans where conventional o
Externí odkaz:
https://doaj.org/article/9e49fe0f2851466abd1014f2009ef25d
Autor:
Sichen Wang, Yanfeng Huo, Xi Mu, Peng Jiang, Shangpei Xun, Binfang He, Wenyu Wu, Lin Liu, Yonghong Wang
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1640 (2022)
Having a high-quality historical air pollutant dataset is critical for environmental and epidemiological research. In this study, a novel deep learning model based on convolutional neural network architecture was developed to estimate ground-level oz
Externí odkaz:
https://doaj.org/article/9d2c8666c0474eae946dd735758775c9
Publikováno v:
Particuology. 83:32-39
Publikováno v:
Dalton Transactions. 52:4214-4223
TiO2 is a promising and safe anode material for lithium-ion batteries.
Publikováno v:
ACS Sustainable Chemistry & Engineering. 10:4031-4039
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Agricultural Science & Technology. Nov2017, Vol. 18 Issue 11, p2092-2105. 7p.