Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Yong'an, ZHANG"'
Publikováno v:
International Journal of Innovation Science, 2016, Vol. 8, Issue 1, pp. 71-88.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJIS-03-2016-004
Autor:
Guohui Shi, Yong’an Zhang, Xiwu Li, Zhihui Li, Lizhen Yan, Hongwei Yan, Hongwei Liu, Baiqing Xiong
Publikováno v:
Journal of Wuhan University of Technology-Mater. Sci. Ed.. 37:90-95
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a46d4bd6701e50f5f1e8f5eb2bcab7
https://doi.org/10.1007/s11595-022-2503-5
https://doi.org/10.1007/s11595-022-2503-5
Autor:
Yong’an Zhang
Publikováno v:
Beyond Indigenization: Christianity and Chinese History in a Global Context ISBN: 9789004532120
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b3889f7c5ea1bcc2c4819bafaf50cc6
https://doi.org/10.1163/9789004532120_021
https://doi.org/10.1163/9789004532120_021
Publikováno v:
Arabian Journal for Science and Engineering. 46:6027-6037
Precipitation behavior of Al3(Sc,Zr) particles in a new high-alloyed Al–Zn–Mg–Cu–Zr–Sc aluminum alloy during homogenization was investigated by use of three-dimensional atom probe, transition electron microscope and high-resolution transiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b669000c22c2b340639e5bcbadf69b
https://doi.org/10.1007/s13369-020-05268-x
https://doi.org/10.1007/s13369-020-05268-x
Publikováno v:
ACS Applied Materials & Interfaces. 12:49101-49110
In the mixed matrix membrane (MMM), the interface between the filler and the polymer matrix will directly affect the gas separation performance of the membranes. Reasonable interfacial design in MMMs is thus important and necessary. In this work, met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5af2008f70c7fa347f78d671d49d4eb2
https://doi.org/10.1021/acsami.0c14639
https://doi.org/10.1021/acsami.0c14639
Publikováno v:
Chinese Journal of Engineering Science. 25:88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9454ae72d3344f8983168c87c86e6c1a
https://doi.org/10.15302/j-sscae-2023.01.005
https://doi.org/10.15302/j-sscae-2023.01.005
Autor:
Yingying Wang, Yong'an Zhang, Yanxiao Dong, Dalu Li, Suli Shi, Shaohang Li, Linzhi Li, Yongjun He, Jianyong Li, Huoying Chen, Haiyan Ge, Yang Liu
Publikováno v:
Scientia Horticulturae. 304:111303
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38765a416a6e3246363e07a8779655da
https://doi.org/10.1016/j.scienta.2022.111303
https://doi.org/10.1016/j.scienta.2022.111303
Autor:
Ying, Liu1,2 371468939@163.com, Yong’an, Zhang1 zhangyongan@grinm.com, Wei, Wang2, Dongsheng, Li2, Junyi, Ma2, Juan, Du2,3
Publikováno v:
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Nov2018, Vol. 43 Issue 11, p6285-6295. 11p.
Publikováno v:
In Rare Metals 2007 26(1):56-61
Publikováno v:
Expert Systems with Applications. 159:113609
Deep learning is well-known for extracting high-level abstract features from a large amount of raw data without relying on prior knowledge, which is potentially attractive in forecasting financial time series. Long short-term memory (LSTM) networks a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33d400f6ece151f9bab70c894424973
https://doi.org/10.1016/j.eswa.2020.113609
https://doi.org/10.1016/j.eswa.2020.113609