中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer 期刊论文  OAI收割
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 卷号: 20, 期号: 6, 页码: 3411-3420
作者:  
Lv, Zhilong;  Lin, Yuexiao;  Yan, Rui;  Wang, Ying;  Zhang, Fa
  |  收藏  |  浏览/下载:8/0  |  提交时间:2024/05/20
Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach 期刊论文  OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 2, 页码: 1011-1023
作者:  
Gao, Yu;  Ai, Yunfeng;  Tian, Bin;  Chen, Long;  Wang, Jian
  |  收藏  |  浏览/下载:58/0  |  提交时间:2020/06/02
Application of Vague set to Software rating ascertainment for space camera (EI CONFERENCE) 会议论文  OAI收割
2nd International Conference on Information Science and Engineering, ICISE2010, December 4, 2010 - December 6, 2010, Hangzhou, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
Software rating ascertainment is very important in development of space camera software system. It can guide the software measurement and management  and help designer improve system reliability finally. Fault Tree Analysis is a common method to analyze the danger reason and fix on bottom events. The most significant step is calculating the occurrence probabilistic of top event  namely the occurrence probabilistic of dangerous event. Because software failure cause is anfractuous and available data are hard to get  a modeling method for bottom event is proposed based on Vague set to calculate the occurrence probabilistic of top event. Experimental results show that the new approach of Vague set can guide the Software rating ascertainment which is ascertained using qualitative analysis. The results also show that the new method makes software rating ascertainment have the quantificational evidence. 2010 IEEE.  
Online analysis and management of spectral data in spectral database 会议论文  OAI收割
IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, New York
Zhang, W; Zhang, B; Li, X; Zhaing, X
收藏  |  浏览/下载:10/0  |  提交时间:2014/12/07