Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Chen, Sihang"'
Autor:
Liu, Enci, Meng, Chenlin, Kolodner, Matthew, Sung, Eun Jee, Chen, Sihang, Burke, Marshall, Lobell, David, Ermon, Stefano
Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, building sustainable cities, and allocating infrastructure investments and p
Externí odkaz:
http://arxiv.org/abs/2301.01449
Autor:
Bai, Long, Chen, Sihang, Gao, Mingyang, Abdelrahman, Leila, Ghamdi, Manal Al, Abdel-Mottaleb, Mohamed
This paper proposes the importance of age and gender information in the diagnosis of diabetic retinopathy. We utilized Deep Residual Neural Networks (ResNet) and Densely Connected Convolutional Networks (DenseNet), which are proven effective on image
Externí odkaz:
http://arxiv.org/abs/2108.03026
Autor:
Zhao, Xingze, Liu, Jijun, Chen, Sihang, Su, Hang, Zhao, Guang, Wu, Yining, Guo, Wenyue, Ren, Hao
Publikováno v:
In Journal of Molecular Liquids 15 June 2024 404
In recent years, quantitative investment methods combined with artificial intelligence have attracted more and more attention from investors and researchers. Existing related methods based on the supervised learning are not very suitable for learning
Externí odkaz:
http://arxiv.org/abs/2105.03844
Akademický článek
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Autor:
Li, Xiaoping, Yang, Qi, Xie, Xugang, Chen, Sihang, Pan, Chen, He, Zhouying, Gong, Jing, Hong, Bingyuan
Publikováno v:
In Energy 1 September 2023 278 Part A
Publikováno v:
E3S Web of Conferences, Vol 561, p 03007 (2024)
Asphaltene deposition on rock surface seriously affects oil recovery efficiency. Molecular dynamics simulation method is used to study the difference in the adsorption behavior of asphaltene molecules on quartz surface, which will help to improve the
Externí odkaz:
https://doaj.org/article/15bcc2bf7ef5440aba3a8cc59617ade0
Autor:
Zhang Lu, Chen Sihang, Zhao Xingze, Zhang Qian, Zhang Minghui, Sun Pengyu, Wu Yining, Ren Hao
Publikováno v:
E3S Web of Conferences, Vol 561, p 03013 (2024)
Gas-liquid interface models consist of SiO2 nanoparticles and typical surfactant molecules were used to investigate the interface properties using molecular dynamics simulations. The surfactant molecules were found being self-assembled to the nanopar
Externí odkaz:
https://doaj.org/article/f437ed43f9ae42cab96bc88c84722df7
Autor:
Duan, Xu, Shi, Bohui, Ruan, Chaoyu, Jia, Junpeng, Song, Shangfei, Liao, Qingyun, Chen, Yuchuan, Chen, Sihang, Wang, Junao, Yao, Haiyuan, Gong, Jing
Publikováno v:
In Journal of Natural Gas Science and Engineering February 2022 98
Autor:
Nie, Guihai, Cai, Xu, Huang, Wenke, Hassan, Hafiz Muhammad Zahid, Chen, Sihang, Zhang, Qiran, Xie, Jiawen, Wu, Kuanghuai
Publikováno v:
In Construction and Building Materials 17 January 2022 316