Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Wanfeng Chen"'
Publikováno v:
IET Image Processing, Vol 17, Iss 3, Pp 849-861 (2023)
Abstract With the development of earth observation satellites, it is very meaningful to study methods for intelligently processing remote sensing images (RSIs). As an important pretreatment technique, salient object detection (SOD) can produce accura
Externí odkaz:
https://doaj.org/article/fc7f171d7cdc4ba1ba70eeba6c0ff507
Publikováno v:
Big Earth Data, Vol 3, Iss 1, Pp 45-55 (2019)
In recent days, discrimination diagrams have been widely used for tracing the tectonic settings and origins of basalts from orogenic belts. However, conventional discrimination diagrams are not accurate enough. Here, we reported six new discriminatio
Externí odkaz:
https://doaj.org/article/f02a357a099b4a4caeee0c452577e28f
Autor:
Shoutao Jiao, Qi Zhang, Yongzhang Zhou, Wanfeng Chen, Xinyu Liu, Gnanachandrasamy Gopalakrishnan
Publikováno v:
Solid Earth Sciences, Vol 3, Iss 4, Pp 105-114 (2018)
We are entering the era of big data, and big data achievements have benefited ordinary people. However, big data application in geochemistry research has not been really appreciated. Big data is a kind of method and a pattern of thought. It is differ
Externí odkaz:
https://doaj.org/article/67168fbc26a1437a8b56be36f379b7ca
Publikováno v:
IET Image Processing. 17:849-861
Publikováno v:
Information Sciences. 609:1489-1505
Publikováno v:
In Handbook of Digital Currency Edition: Second Edition. 2024:41-64
Autor:
Erteng Wang, Xinwei Zhai, Wanfeng Chen, Lei Wu, Gaorui Song, Yun Wang, Zhiang Guo, Jiaolong Zhao, Jinrong Wang
Publikováno v:
Minerals; Volume 13; Issue 4; Pages: 565
The closing time of the Paleo-Asian Ocean (PAO) has long been in the focus of research as well as of controversial debates. The Paleozoic A-type granites distributed in the Beishan Orogenic Belt (BOB) at the southern margin of the Central Asian Oroge
Autor:
Bach, Christian, Bhaskar, Nirupama Devi, Birch, David G.W., Buchanan, Aeron, Choo, Kim-Kwang Raymond, Chuen, David Lee Kuo, Cruysheer, Anton, De Filippi, Primavera, Haili, Li, Jaag, Christian, JinCheng, Zheng, Killeen, Alyse, Kristof, Andras, Lee, Teik Ming, Levin, Richard B., Li, Guo, Lim, Jonathan W., Mas, Ignacio, McKinney, Ralph E., Jr., Newman, Andrew, Nian, Lam Pak, Noizat, Pierre, O'Brien, Aaron A., Ong, Bobby, Papadopoulos, Georgios, Rosenlieb, Duane C., Jr., Saito, Tetsuya, Samid, Gideon, Sapovadia, Vrajlal, Shao, Lawrence P., Shao, Dale H., Tarasiewicz, Matthias, Teo, Ernie G.S., Wanfeng, Chen, Wang, Yu, Wesner, Nicolas, Wood, Gavin, Xu, Weibiao, Yermack, David, Zhao, Yao, Zhiguo, Wang, Zuberi, Madiha M.
Publikováno v:
In Handbook of Digital Currency Edition: Second Edition. 2024:xv-xvii
Autor:
XinYu Liu, Shoutao Jiao, Gnanachandrasamy Gopalakrishnan, Qi Zhang, Wanfeng Chen, Yongzhang Zhou
Publikováno v:
Solid Earth Sciences, Vol 3, Iss 4, Pp 105-114 (2018)
We are entering the era of big data, and big data achievements have benefited ordinary people. However, big data application in geochemistry research has not been really appreciated. Big data is a kind of method and a pattern of thought. It is differ
Autor:
Erteng Wang, Lei Wu, Xinwei Zhai, Wanfeng Chen, Ruihuan Su, Zhiang Guo, Yun Wang, Jinrong Wang
Publikováno v:
Earth Science-Journal of China University of Geosciences. 47:3285