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Multi-Dimensional Graph Interactional Network for Progressive Point Cloud Completion 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 2501512
Authors:  Xiao, Haihong;  Xu, Hongbin;  Li YQ(李玉琼);  Kang, Wenxiong
Favorite  |  View/Download:50/0  |  Submit date:2023/04/20
Point cloud compression  Shape  Three dimensional displays  Decoding  Rendering (computer graphics)  Feature extraction  Deep learning  3 D point cloud  deep learning  differentiable rendering  multidimensional graph interactional network  point cloud completion  
水下发射水动力的多尺度预测网络研究 期刊论文
力学学报, 2021, 卷号: 53, 期号: 02, 页码: 339-351
Authors:  岳杰顺;  权晓波;  叶舒然;  王静竹;  王一伟
Adobe PDF(1376Kb)  |  Favorite  |  View/Download:443/78  |  Submit date:2021/04/19
水下发射  深度学习  多尺度  一维卷积  尾部压力  
Machine learning method for the supplement, correction, and prediction of the nonlinear dynamics in pattern formation 期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 2, 页码: 17
Authors:  Chen Y(陈一);  Wu D(吴笛);  Duan L(段俐);  Kang Q(康琦)
Adobe PDF(5849Kb)  |  Favorite  |  View/Download:257/80  |  Submit date:2021/04/19
Strain hardenability of a gradient metallic alloy under high-strain-rate compressive loading 期刊论文
MATERIALS & DESIGN, 2019, 卷号: 170, 页码: 8
Authors:  Fan JT;  Jiang MQ(蒋敏强)
View  |  Adobe PDF(3985Kb)  |  Favorite  |  View/Download:229/60  |  Submit date:2019/05/29
Metallic alloy  Gradient microstructure design  Impact loading  Strain hardening  Rate dependency  Dynamic fracture  
Study on the statistical intensity distribution (SID) of fluorescent nanoparticles in TIRFM measurement 期刊论文
MICROFLUIDICS AND NANOFLUIDICS, 2018, 卷号: 22, 期号: 11, 页码: Ar-127
Authors:  Zheng X(郑旭);  Shi F;  Silber-Li ZH(李战华)
View  |  Adobe PDF(2269Kb)  |  Favorite  |  View/Download:359/150  |  Submit date:2018/12/12
TIRFM  Nanoparticles  Statistical intensity distribution (SID)  NanoPIV  PTV  
Evaluation Method for Multi-Operator and Multi-Robot Teleoperation Systems 会议论文
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, 12-14 Oct. 2018
Authors:  Feng GH(冯冠华);  Li WH(李文皓);  Zhang H(张珩)
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Space Robot Teleoperation Experiment and System Evaluation Method 会议论文
2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC), China, 25-27 May 2018
Authors:  Feng GH(冯冠华);  Li WH(李文皓);  Zhang H(张珩)
View  |  Adobe PDF(1780Kb)  |  Favorite  |  View/Download:271/69  |  Submit date:2018/10/29
Encoding and controlling of two droplet trains in a microfluidic network with the loop-like structure 期刊论文
MICROFLUIDICS AND NANOFLUIDICS, 2015, 卷号: 19, 期号: 6, 页码: 1363-1375
Authors:  Song K;  Hu GQ(胡国庆);  Hu XL;  Zhong RT;  Wang XH;  Lin BC;  Song, K (reprint author), Xiangtan Univ, Coll Civil Engn & Mech, Xiangtan 411105, Peoples R China.
View  |  Adobe PDF(1719Kb)  |  Favorite  |  View/Download:409/101  |  Submit date:2016/01/08
Droplet Trains  Encoding  Loop-like Structure  Droplet Intervals  Fusion  
Two dimensional barcode-inspired automatic analysis for arrayed microfluidic immunoassays 期刊论文
BIOMICROFLUIDICS, 2013, 卷号: 7, 期号: 3, 页码: 034110/1-034110/12
Authors:  Zhang Y;  Qiao LB;  Ren YK;  Wang XW(王绪伟);  Gao M;  Tang YF;  Xi JJ;  Fu TM;  Jiang XY;  Fu, TM (reprint author), Peking Univ, Coll Engn, Beijing 100871, Peoples R China.
Adobe PDF(3883Kb)  |  Favorite  |  View/Download:678/206  |  Submit date:2013/08/21
Bar Codes  Two Dimensional  Antigen/antibody Interactions  Automatic Analysis  Biochemical Reactions  Lab-on-a-chip Devices  Microfluidic Array  Microfluidic Immunoassay  Quantitative Information  Universal Approach  
Parse-matrix evolution for symbolic regression 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 卷号: 25, 期号: 6, 页码: 1182-1193
Authors:  Luo ZT(罗长童);  Zhang SL(张绍良);  Luo, CT;  Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
Adobe PDF(616Kb)  |  Favorite  |  View/Download:821/282  |  Submit date:2013/01/18
Genetic Programming  Data Analysis  Symbolic Regression  Grammatical Evolution  Artificial Intelligence  Evolutionary Computation  Nonlinear-systems  Identification