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Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory 期刊论文
ASTRONOMY AND COMPUTING, 2020, 卷号: 32, 页码: 100392
Authors:  Cui, C.;  Tao, Y.;  Li, C.;  Fan, D.;  Xiao, J.;  He, B.;  Li, S.;  Yu, C.;  Mi, L.;  Xu, Y.;  Han, J.;  Yang, S.;  Zhao, Y.;  Xue, Y.;  Hao, J.;  Liu, L.;  Chen, X.;  Chen, J.;  Zhang, H.
Adobe PDF(1993Kb)  |  Favorite  |  View/Download：144/0  |  Submit date：2021/04/01
Big data  Cloud computing  Science platform  Virtual observatory  
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution 会议论文
5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018, Nanjing, China, November 23, 2018 - November 25, 2018
Authors:  Xu, Wendi;  Zhang, Ming
Adobe PDF(752Kb)  |  Favorite  |  View/Download：94/1  |  Submit date：2021/04/12
Warships  Brain  Cloud computing  Deep learning  Image processing  Neural networks  Optical resolving power  
Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control 会议论文
5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018, Nanjing, China, November 23, 2018 - November 25, 2018
Authors:  Xu, Wendi;  Zhang, Ming
Adobe PDF(891Kb)  |  Favorite  |  View/Download：95/0  |  Submit date：2021/04/12
Deep learning  Cloud computing  Computation theory  Optical resolving power  
Design and Implement of Astronomical Cloud Computing Environment In China-VO 会议论文
Proceedings of IAUS 325: Astroinformatics, Sorrento (Naples), Italy, Oct 19 - Oct 25, 2016
Authors:  Li, Changhua;  Cui, Chenzhou;  Mi, Linying;  He, Boliang;  Fan, Dongwei;  Li, Shanshan;  Yang, Sisi;  Xu, Yunfei;  Han, Jun;  Chen, Junyi;  Zhang, Hailong;  Yu, Ce;  Xiao, Jian;  Wang, Chuanjun;  Cao, Zihuang;  Fan, Yufeng;  Liu, Liang;  Chen, Xiao;  Song, Wenming;  Du, Kangyu
Adobe PDF(265Kb)  |  Favorite  |  View/Download：244/1  |  Submit date：2018/02/07
Cloud Computing  Virtual Machine  Astronomy  Migration Computing  Cloudstack  
Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data 会议论文
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings, Beijing, China, July 10, 2016 - July 15, 2016
Authors:  Ye, Xinchen;  Qian, Yurong;  Yu, Jiong;  Wu, Jiaji;  Zhang, Hailong
Adobe PDF(305Kb)  |  Favorite  |  View/Download：240/4  |  Submit date：2018/01/24
Cloud Computing  Remote Sensing Image  Distributed File System  Dynamic Reconfiguration  Energy-efficient