Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Jinchao Ji"'
Publikováno v:
IEEE Access, Vol 9, Pp 24913-24924 (2021)
Clustering data with both numeric and categorical attributes is of great importance as such data are ubiquitous in real-world problems. Multi-view learning approaches have proven to be more effective and having better generalisation ability compared
Externí odkaz:
https://doaj.org/article/e8c7078be720406ca18b45681cf36780
Publikováno v:
IEEE Access, Vol 8, Pp 30988-31003 (2020)
Clustering analysis, as an important technique in data mining, aims to identify the nature groups or clusters of data objects in the attribute space. Data objects in real-world applications are commonly described by both numeric and categorical attri
Externí odkaz:
https://doaj.org/article/8a90510bb5c24be78ab8ca30a9379877
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 6, Pp 6231-6241 (2019)
RNA modification plays an indispensable role in the regulation of organisms. RNA modification site prediction offers an insight into diverse cellular processing. Regarding different types of RNA modification site prediction, it is difficult to tell t
Externí odkaz:
https://doaj.org/article/6c9cc2c66e154e49a956540f11f35e89
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-15 (2019)
Abstract Background Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in
Externí odkaz:
https://doaj.org/article/7bc6c9d0332a49a3b5a42fccfce34522
Publikováno v:
IEEE Access, Vol 7, Pp 35208-35219 (2019)
Although words are basic semantic units in text, phrases, and expressions contain additional information, which is important for text classification. To capture this information, traditional algorithms extract composite features via word sequences or
Externí odkaz:
https://doaj.org/article/24e3b04288df454fb58e4909fe9dd982
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0127125 (2015)
Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algori
Externí odkaz:
https://doaj.org/article/f02b010b504b4caba4b31257bf2756e9
Publikováno v:
Information Sciences. 629:778-797
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317731dd6687f5db074aa8451c97bcb6
https://doi.org/10.1016/j.ins.2023.02.011
https://doi.org/10.1016/j.ins.2023.02.011
Publikováno v:
Frontiers of Computer Science. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2cb0e63936483c41fe88585d78d456d
https://doi.org/10.1007/s11704-022-2023-7
https://doi.org/10.1007/s11704-022-2023-7
Publikováno v:
IEEE Access, Vol 9, Pp 24913-24924 (2021)
Clustering data with both numeric and categorical attributes is of great importance as such data are ubiquitous in real-world problems. Multi-view learning approaches have proven to be more effective and having better generalisation ability compared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aefaff20e33fb2ae643efeef686a3d06
https://doi.org/10.1109/access.2021.3057113
https://doi.org/10.1109/access.2021.3057113
Autor:
Jinchao Jiao, Yongrui Gu, Xiaoyun Ding, He Guo, Jin Zhang, Yong Lian, Bo Feng, Xiaowei Feng, Kaihong Zheng, Fusheng Pan
Publikováno v:
Journal of Materials Research and Technology, Vol 29, Iss , Pp 5214-5224 (2024)
The preparation of Al/Mg/Al laminated metal composites (LMCs) by lamination technique can well combine the good corrosion resistance of Al alloy and the lightweight characteristics of Mg alloy. In this paper, the atmospheric corrosion behavior and un
Externí odkaz:
https://doaj.org/article/0e435514c140422c9e822a0569639781