Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Changhe Wu"'
Publikováno v:
Ziyuan Kexue, Vol 45, Iss 11, Pp 2222-2233 (2023)
[Objective] The classification of rural settlement development types is crucial for comprehensive and effective village planning. By examining the characteristics of rural resident travel behaviors, this study aimed to categorize rural settlement dev
Externí odkaz:
https://doaj.org/article/c95bcab23de04e3aae866db22d60c0c8
Autor:
Chunbao Feng, Xin Luo, Qing Zhao, Changhe Wu, Tao Hu, Shichang Li, Shengnan Duan, Gang Tang, Gang Zhang, Dengfeng Li
Publikováno v:
physica status solidi (RRL) – Rapid Research Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e463d79679a46081324d625b959bb7be
https://doi.org/10.1002/pssr.202300128
https://doi.org/10.1002/pssr.202300128
Autor:
Chunbao Feng, Qing Zhao, Changhe Wu, Xin Luo, Shichang Li, Dengfeng Li, Gang Tang, Gang Zhang
Publikováno v:
The Journal of Physical Chemistry Letters. 13:1077-1084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf4dd155367a329d8a3ce6612ff85ba3
https://doi.org/10.1021/acs.jpclett.1c03719
https://doi.org/10.1021/acs.jpclett.1c03719
Autor:
Tianhan Gao, Changhe Wu
Publikováno v:
2nd International Conference on Computer Vision, Image, and Deep Learning.
CT images play a vital role in the diagnosis of liver cancer. However, CT images often have significant image noise, which is unfavourable for doctors' diagnoses. In response to this problem, this paper applies the BM3D denoising algorithm to the den
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5ba39687aa33a6a46f33c2527938e23
https://doi.org/10.1117/12.2604518
https://doi.org/10.1117/12.2604518
Autor:
Feng, Chunbao, Qing Zhao, Changhe Wu, Xin Luo, Shichang Li, Dengfeng Li, Gang Tang, Gang Zhang
Publikováno v:
Journal of Physical Chemistry Letters; 2/3/2022, Vol. 13 Issue 4, p1077-1084, 8p
Autor:
Changhe Wu, Tianhan Gao
Publikováno v:
Journal of Physics: Conference Series. 1883:012112
Image denoising is widely used in image, video, nuclear magnetic imaging and so on. In the application scene, camera jitter, the rapid motion of objects, dark light environment and so on may cause the captured photos to be unclean, so the research of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9988ece61cf1b533760b5c98e749933
https://doi.org/10.1088/1742-6596/1883/1/012112
https://doi.org/10.1088/1742-6596/1883/1/012112