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浏览/检索结果: 共28条,第1-10条 帮助

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FTIR trend term removal method based on GA and MSAC algorithms 会议论文  OAI收割
Nantong, PEOPLES R CHINA, SEP 17-19, 2022
作者:  
Yan B(闫浡);  Fang JY;  Chen H(陈豪);  Li SH(李帅辉)
  |  收藏  |  浏览/下载:80/0  |  提交时间:2023/10/26
Identification of FPR3 as a Unique Biomarker for Targeted Therapy in the Immune Microenvironment of Breast Cancer 期刊论文  OAI收割
FRONTIERS IN PHARMACOLOGY, 2021, 卷号: 11
作者:  
Qi, Jian;  Liu, Yu;  Hu, Jiliang;  Lu, Li;  Dou, Zhen
  |  收藏  |  浏览/下载:59/0  |  提交时间:2021/04/26
Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm 期刊论文  OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2678-2685
作者:  
Wang, Ting;  Zhang, Hang;  Zhao, Yanlong
  |  收藏  |  浏览/下载:54/0  |  提交时间:2020/09/23
Multiscale Computational Method for Dynamic Thermo-Mechanical Problems of Composite Structures with Diverse Periodic Configurations in Different Subdomains 期刊论文  OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2019, 卷号: 79, 期号: 3, 页码: 1630-1666
作者:  
Dong, Hao;  Zheng, Xiaojing;  Cui, Junzhi;  Nie, Yufeng;  Yang, Zhiqiang
  |  收藏  |  浏览/下载:82/0  |  提交时间:2020/01/10
Multiscale computational method for transient heat conduction problems of periodic porous materials with diverse periodic configurations in different subdomains 期刊论文  OAI收割
APPLIED NUMERICAL MATHEMATICS, 2019, 卷号: 136, 页码: 215-234
作者:  
Dong, Hao;  Cui, Junzhi;  Nie, Yufeng;  Yang, Zihao;  Ma, Qiang
  |  收藏  |  浏览/下载:58/0  |  提交时间:2019/03/05
Multiscale computational method for heat conduction problems of composite structures with diverse periodic configurations in different subdomains 期刊论文  OAI收割
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2018, 卷号: 76, 期号: 11-12, 页码: 2549-2565
作者:  
Dong, Hao;  Cui, Junzhi;  Nie, Yufeng;  Yang, Zihao;  Yang, Zhiqiang
  |  收藏  |  浏览/下载:99/0  |  提交时间:2019/01/11
Fast evaluation and high accuracy finite element approximation for the time fractional subdiffusion equation 期刊论文  OAI收割
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2018, 卷号: 34, 期号: 2, 页码: 705-730
作者:  
Ren, Jincheng;  Mao, Shipeng;  Zhang, Jiwei
  |  收藏  |  浏览/下载:69/0  |  提交时间:2018/07/30
Weighted data fusion algorithm in the application of visual measurement network system (EI CONFERENCE) 会议论文  OAI收割
2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012, November 29, 2012 - November 30, 2012, Guangzhou, China
作者:  
Zhang Y.-c.;  Zhou J.
收藏  |  浏览/下载:39/0  |  提交时间:2013/03/25
Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文  OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Chen H.; Cao J.
收藏  |  浏览/下载:154/0  |  提交时间:2013/03/25
Comparing with optical remote sensing techniques  passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent  which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November  2011. In this paper  we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method  the processing results were further used to retrieve the snow depth in Northeast China. Finally  the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.  
Color filtering method for CFA images based on gradient (EI CONFERENCE) 会议论文  OAI收割
International Conference on Communication Systems and Network Technologies, CSNT 2012, May 11, 2012 - May 13, 2012, Rajkot, Gujrat, India
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:41/0  |  提交时间:2013/03/25
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values  three color is R(red)  G(green) and B(blue). To render a full-color image  need an interpolation process commonly referred to as CFA demosaicking  is required to estimate the other two contributions for producing a full-color image. But  the noise in imaging sensors not only corrupts the color filter array  at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images  adopt a sort of viable and effective interpolation algorithm based on gradient  at the time of removing the noise  reserve image border and detail information clearly. 2012 IEEE.