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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 专题：华南理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Chemical characterization and source apportionment of atmospheric submicron particles on the western coast of Taiwan Strait, China (EI收录) 期刊论文 Journal of Environmental Sciences (China), 2017, 卷号: 52, 页码: 293-304 作者:  Cao, Liming[1];  Zhu, Qiao[1];  Huang, Xiaofeng[1];  Deng, Junjun[2];  Chen, Jinsheng[2] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/24 Aerosols  Carbon  Factorization  Mass spectrometers  Mass spectrometry  Nitrates  Pollution   Automatic focus algorithm for IC wafer image sampling by adaptive lifting scheme denoising (CPCI-S收录) 会议论文 ICEPT: 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONICS PACKAGING TECHNOLOGY, PROCEEDINGS 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Wu, Liming[2];  Zhang, Yingmin[2];  Wang, Guitang[2] 收藏  |  浏览/下载：0/0  |  提交时间：2019/04/17 Automatic vision focus algorithm for micro-image sampling by adaptive lifting scheme denoising (EI收录) 会议论文 AD'07 - Proceedings of Asia Display 2007, Shanghai, China, March 12, 2007 - March 16, 2007 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Wu, Liming[2];  Zhang, Yingmin[2];  Lai, Nanhui[2] 收藏  |  浏览/下载：3/0  |  提交时间：2019/04/17 Algorithms  Computer vision  Signal processing  Signal to noise ratio  Wavelet analysis   Automatic vision focus algorithm for micro-image sampling by adaptive lifting scheme denoising (CPCI-S收录) 会议论文 AD'07: Proceedings of Asia Display 2007, Vols 1 and 2 作者:  Deng, Yaohua;  Liu, Guixiong;  Wu, Liming;  Zhang, Yingmin;  Lai, Nanhui 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/17 computer vision  micro-image sampling  lifting scheme  denoising  automatic focus   Deformation decision knowledge extraction of FWP processing based on RS and entropy (EI收录) 会议论文 Advances in Intelligent and Soft Computing, Hangzhou, China, January 15, 2012 - January 16, 2012 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Wu, Liming[2] 收藏  |  浏览/下载：0/0  |  提交时间：2019/04/15 Algorithms  Decision tables  Information technology   Deformation Decision Knowledge Extraction of FWP Processing Based on RS and Entropy (CPCI-S收录) 会议论文 EMERGING COMPUTATION AND INFORMATION TECHNOLOGIES FOR EDUCATION 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Wu, Liming[2] 收藏  |  浏览/下载：0/0  |  提交时间：2019/04/15 FWP processing  deformation decisions knowledge extraction  rough set  information entropy  attribute importance   Research on Multi-core Collaborative Computing for FWP Image Processing Algorithm by FPGA (CPCI-S收录) 会议论文 FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY, PTS 1-3 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Han, Wei[2];  Fang, Ziwei[2];  Wu, Liming[2] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/15 FWP Image Processing  SOPC  Collaborative Computing  Multi-processor Core & FSL Bus   Research of FWP process deformation compensation forecasting on the basis of TS-FNN (EI收录) 会议论文 Advanced Materials Research, Sanya, China, July 29, 2011 - July 31, 2011 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Liao, Qingfu[2];  Zeng, Lei[2];  Wu, Liming[2] 收藏  |  浏览/下载：4/0  |  提交时间：2019/04/15 Deformation  Flexible manufacturing systems  Forecasting  Fuzzy neural networks  Industrial research  Membership functions  Product liability  Steepest descent method   Research on multi-core collaborative computing for FWP image processing algorithm by FPGA (EI收录) 会议论文 Advanced Materials Research, Chongqing, China, June 23, 2011 - June 24, 2011 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Han, Wei[2];  Fang, Ziwei[2];  Wu, Liming[2] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/15 Algorithms  Buses  Design  Embedded software  Hardware  Image processing  Industrial research  Manufacture  Multiprocessing systems  Software testing   Research of FWP Process Deformation Compensation Forecasting on the Basis of TS-FNN (CPCI-S收录) 会议论文 MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-3 作者:  Deng, Yaohua[1,2];  Liu, Guixiong[1];  Liao, Qingfu[2];  Zeng, Lei[2];  Wu, Liming[2] 收藏  |  浏览/下载：6/0  |  提交时间：2019/04/15 Process deformation  Compensation forecasting  Fuzzy neural network  steepest descent method