Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Shenghui CHENG"'
Identifying the skeptics and the undecided through visual cluster analysis of local network geometry
Publikováno v:
Visual Informatics, Vol 6, Iss 3, Pp 11-22 (2022)
By skeptics and undecided we refer to nodes in clustered social networks that cannot be assigned easily to any of the clusters. Such nodes are typically found either at the interface between clusters (the undecided) or at their boundaries (the skepti
Externí odkaz:
https://doaj.org/article/28aa083bd5404fa0b38fc4b78396cfe5
Publikováno v:
Shipin gongye ke-ji, Vol 43, Iss 10, Pp 372-377 (2022)
Objective: To study the anti-alcoholic and hepatoprotective effect of Shanxi Maojian tea aqueous extract, in order to provide the evidence for its further development and utilization. Methods: Kunming mice were randomly divided into 5 groups: Drunken
Externí odkaz:
https://doaj.org/article/bc7560d048dc497d85bf60a0e2217909
Publikováno v:
Ocean-Land-Atmosphere Research, Vol 2 (2023)
The processes and phenomena hidden in massive marine data importantly impact heat transportation, material transportation, and climate formation. Visualization can assist people in mining and understanding marine data to gain insight. Thus, oceanogra
Externí odkaz:
https://doaj.org/article/0460299a88c24812970611b8b03ac534
Publikováno v:
The Innovation, Vol 3, Iss 5, Pp 100293- (2022)
Externí odkaz:
https://doaj.org/article/9efc2449f3b6478dbdcc8b259827da74
Publikováno v:
IEEE Access, Vol 6, Pp 57191-57204 (2018)
Torus networks are an attractive topology in supercomputing, balancing the tradeoff between network diameter and hardware costs. The nodes in a torus network are connected in a k-dimensional wrap-around mesh where each node has 2k neighbors. Effectiv
Externí odkaz:
https://doaj.org/article/c26934a6573340d896645da404ea0edb
Publikováno v:
2022 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b18b31f10eb2979308683471c203f06
https://doi.org/10.1109/iseeie55684.2022.00009
https://doi.org/10.1109/iseeie55684.2022.00009
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f831df03dadf786bcb8d9f4b4c70e8aa
https://doi.org/10.2139/ssrn.4010416
https://doi.org/10.2139/ssrn.4010416
Autor:
Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li
Dimension reduction (DR) is commonly utilized to capture the intrinsic structure and transform high-dimensional data into low-dimensional space while retaining meaningful properties of the original data. It is used in various applications, such as im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8162203d91f0d0c965dc8cae0ab019e
Publikováno v:
2021 5th International Conference on Vision, Image and Signal Processing (ICVISP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65851f13a7462a753336ece9877dab29
https://doi.org/10.1109/icvisp54630.2021.00059
https://doi.org/10.1109/icvisp54630.2021.00059
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:1361-1377
A wide variety of color schemes have been devised for mapping scalar data to color. We address the challenge of color-mapping multivariate data. While a number of methods can map low-dimensional data to color, for example, using bilinear or barycentr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65bca31d6d4b8ccd07a67d88b595970
https://doi.org/10.1109/tvcg.2018.2808489
https://doi.org/10.1109/tvcg.2018.2808489