Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shaoru Wu"'
Publikováno v:
IEEE Access, Vol 12, Pp 157775-157783 (2024)
This study aims to provide a comprehensive analysis of the evolution and relevance of the Chinese government’s work on safety production, offering practical guidance for related research. The study collected relevant text data of government work on
Externí odkaz:
https://doaj.org/article/aaffef0ee2314f81bc49d2aa2c8c78ef
Autor:
Heng Lu, Xiaohong Tan, Guobin Huang, Shaoru Wu, Yanmei Zhou, Junying Zhang, Qiaowen Zheng, Tianju Chen, Feiming Li, Zhixiong Cai, Jingbin Zeng, Maosheng Zhang
Publikováno v:
Nanoscale. 14:17222-17229
Perovskite nanocrystals (PNCs) have attracted widespread attention as promising materials for the optoelectronic field due to their remarkable photophysical properties and structural tunability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f77dfa122c86985f6ff2b062b46255d8
https://doi.org/10.1039/d2nr04173a
https://doi.org/10.1039/d2nr04173a
Autor:
Xiaohong Tan, Heng Lu, Yanmei Zhou, Shaoru Wu, Guobin Huang, Xudong Wang, Jingbin Zeng, Feiming Li, Zhixiong Cai, Maosheng Zhang
Publikováno v:
RSC advances. 12(38)
Sensing temperature (T) has gained great attention since T is the most important parameter in daily life, scientific research and industry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dafe60868dd2ec44475572a194c8da5d
https://pubmed.ncbi.nlm.nih.gov/36199878
https://pubmed.ncbi.nlm.nih.gov/36199878
Publikováno v:
2021 4th International Conference on Artificial Intelligence and Pattern Recognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fd4a32602a21984f30cf5e103a20df7
https://doi.org/10.1145/3488933.3489022
https://doi.org/10.1145/3488933.3489022
Autor:
Yanmei Zhou, Shaoru Wu, Guobin Huang, Jingbin Zeng, Benjamin Edem Meteku, Xiaohong Tan, Heng Lu, Feiming Li, Zhixiong Cai, Xudong Wang, Maosheng Zhang
Publikováno v:
Journal of Alloys and Compounds. 918:165565
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::436f5bf7f2479b4cb378ea5b99afab42
https://doi.org/10.1016/j.jallcom.2022.165565
https://doi.org/10.1016/j.jallcom.2022.165565
Autor:
Shaoru Wu, Xiaobin Zhi
Publikováno v:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery ISBN: 9783030325909
ICNC-FSKD
ICNC-FSKD
Recently, a filter supervised feature selection method, namely discriminative feature selection (DFS), was proposed, which combines linear discriminant analysis (LDA) and sparsity regularization effectively. However, DFS is computationally expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::224d8f3ad5c1c4d4f48618d7bc5582a8
https://doi.org/10.1007/978-3-030-32591-6_34
https://doi.org/10.1007/978-3-030-32591-6_34
