Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yuebin Su"'
Autor:
Jing Wang, Wei Cai, Jingwu Zheng, Junhui Zhu, Xinqi Zhang, Haibo Chen, Liang Qiao, Yao Ying, Wangchang Li, Jing Yu, Juan Li, Yuebin Su, Shenglei Che
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 6688-6695 (2023)
Ultrafine Sm2Fe17N3 powders obtained via ball or airflow milling usually exhibit defects and localized demagnetization owing to their irregular morphologies. Therefore, this study employs the ultrasonic spray pyrolysis–reduction diffusion method in
Externí odkaz:
https://doaj.org/article/9d37cc14ebc14b169427d60e9f04d113
Autor:
Jiujun Zhang, Yuebin Su, Zhaoping Liu, Jiwen Feng, Xinmiao Liang, Qiushi Wang, Xiaoshuang Yan, Hezhu Shao, Shaohua Huang, Liang Chen, Ping Jiang
Publikováno v:
ACS Energy Letters. 4:1419-1426
Currently used aqueous electrolytes for lithium-ion batteries suffer from narrow potential windows of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::107069e91ad31d4acd92086b3c31fd36
https://doi.org/10.1021/acsenergylett.9b00968
https://doi.org/10.1021/acsenergylett.9b00968
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2017 (2017)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
For data mining, reducing the unnecessary redundant attributes which was known as attribute reduction (AR), in particular, reducts with minimal cardinality, is an important preprocessing step. In the paper, by a coding method of combination subset of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb13bb2909de7bd9c52a232cbeec72f
https://doi.org/10.1155/2017/6573623
https://doi.org/10.1155/2017/6573623
Publikováno v:
Concurrency and Computation: Practice and Experience. 31:e4743
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72189c2c457fc7c7e3f569cb26a5d511
https://doi.org/10.1002/cpe.4743
https://doi.org/10.1002/cpe.4743
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2015 (2015)
Computational Intelligence and Neuroscience, Vol 2015 (2015)
The goal of minimal attribute reduction is to find the minimal subsetRof the condition attribute setCsuch thatRhas the same classification quality asC. This problem is well known to be NP-hard. When only one minimal attribute reduction is required, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a36219b3db658d9cf0bcd152121a5d0
http://europepmc.org/articles/PMC4539213
http://europepmc.org/articles/PMC4539213
Autor:
Ping Jiang, Liang Chen, Hezhu Shao, Shaohua Huang, Qiushi Wang, Yuebin Su, Xiaoshuang Yan, Xinmiao Liang, Jiujun Zhang, Jiwen Feng, Zhaoping Liu
Publikováno v:
ACS Energy Letters; 6/14/2019, Vol. 4 Issue 6, p1419-1426, 8p
Publikováno v:
International Journal of Antennas and Propagation, Vol 2021 (2021)
In this paper, an automatic antenna design method based on the shape blending algorithm is proposed. The algorithm is used to construct the shape of the wide slot of a CPW-fed antenna. Firstly, two basic shapes are chosen as the initial shape and the
Externí odkaz:
https://doaj.org/article/26af995bae584a97aba0a443b3ce06a5