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Design and control of a two-motor-actuated tuna-inspired robot system 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 暂无, 页码: 1-11
作者:  Du, Sheng;  Wu, Zhengxing;  Wang, Jian;  Qi, Suwen;  Yu, Junzhi
Adobe PDF(2287Kb)  |  收藏  |  浏览/下载：220/62  |  提交时间：2021/06/16
Bio-inspired robot  fast swimming  maneuverability  robotic tuna  underwater robot  
A Measuring Method for Nano Displacement Based on Fusing Data of Self-Sensing and Time-Digit-Conversion 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 183070-183080
作者:  Du, Zhangming;  Zhou, Chao;  Zhang, Tianlu;  Deng, Lu;  Cao, Zhiqiang;  Cheng, Long
Adobe PDF(2959Kb)  |  收藏  |  浏览/下载：296/45  |  提交时间：2020/03/30
Nano-scale measurement  multi-rate fusion  self-sensing  TDC  
A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 卷号: 6, 期号: 6, 页码: 1487-1498
作者:  Li, Chengdong;  Yi, Jianqiang;  Lv, Yisheng;  Duan, Peiyong
浏览  |  Adobe PDF(7716Kb)  |  收藏  |  浏览/下载：326/85  |  提交时间：2020/03/30
Fuzzy set  least square method  linguistic dynamic system (LDS)  multi-objective optimization  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
浏览  |  Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：328/56  |  提交时间：2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3433-3443
作者:  Luo, Lincong;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
收藏  |  浏览/下载：216/0  |  提交时间：2020/03/30
Medical treatment  Training  Task analysis  Robot sensing systems  Impedance  Trajectory  Assist as needed (AAN)  challenge level  Gaussian radial basis function (RBF) network  motor capability  rehabilitation robot  upper limb  
Skeleton-Based Action Recognition With Gated Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 11, 页码: 3247-3257
作者:  Cao, Congqi;  Lan, Cuiling;  Zhang, Yifan;  Zeng, Wenjun;  Lu, Hanqing;  Zhang, Yanning
收藏  |  浏览/下载：286/0  |  提交时间：2020/03/30
Skeleton  Logic gates  Task analysis  Recurrent neural networks  Matrix converters  Three-dimensional displays  Convolutional neural networks  Skeleton  action recognition  gated connection  convolutional neural networks  
Semantically Modeling of Object and Context for Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1013-1024
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
收藏  |  浏览/下载：297/0  |  提交时间：2019/12/16
Context modeling  object categorization  object modeling  semantic representation  
Multiview, Few-Labeled Object Categorization by Predicting Labels With View Consistency 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 3834-3843
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
收藏  |  浏览/下载：274/0  |  提交时间：2019/12/16
Few-labeled images  multiview classification  object categorization  view consistency  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(31078Kb)  |  收藏  |  浏览/下载：324/47  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 102941-102950
作者:  Duan, Wenhui;  Xiao, Xiuchun;  Fu, Dongyang;  Yan, Jingwen;  Liu, Mei;  Zhang, Jiliang;  Jin, Long
收藏  |  浏览/下载：239/0  |  提交时间：2019/12/16
Chemical industry  automatic control  control design  neural dynamics method  rapid convergence  perturbations rejection