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Wrist Angle Estimation With a Musculoskeletal Model Driven by Electrical Impedance Tomography Signals 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 2, 页码: 2186-2193
作者:  Zheng, Enhao;  Wan, Jiacheng;  Yang, Lin;  Wang, Qining;  Qiao, Hong
Adobe PDF(1805Kb)  |  收藏  |  浏览/下载：212/9  |  提交时间：2021/05/06
Electrical impedance tomography  human-machine interface  musculoskeletal model  wrist angle estimation  
Adaptive-Neural-Network-Based Trajectory Tracking Control for a Nonholonomic Wheeled Mobile Robot With Velocity Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5057-5067
作者:  Chen, Ziyu;  Liu, Yang;  He, Wei;  Qiao, Hong;  Ji, Haibo
Adobe PDF(1673Kb)  |  收藏  |  浏览/下载：344/18  |  提交时间：2021/04/06
Mobile robots  Lyapunov methods  Adaptive systems  Artificial neural networks  Automation  Adaptive neural networks  barrier Lyapunov function (BLF)  velocity constraint  wheeled mobile robot (WMR)  
PolSAR Image Feature Extraction via Co-Regularized Graph Embedding 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 19
作者:  Huang, Xiayuan;  Nie, Xiangli;  Qiao, Hong
浏览  |  Adobe PDF(8269Kb)  |  收藏  |  浏览/下载：376/79  |  提交时间：2020/08/03
Wishart distance  Euclidean distance of polarimetric features  co-regularized graph embedding  dimensionality reduction  PolSAR image feature extraction  
Self-adaption neighborhood density clustering method for mixed data stream with concept drift 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 卷号: 89, 页码: 14
作者:  Xu, Shuliang;  Feng, Lin;  Liu, Shenglan;  Qiao, Hong
收藏  |  浏览/下载：272/0  |  提交时间：2020/04/07
Data stream  Concept drift  Rough set  Clustering analysis  Neighborhood entropy  
From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems 期刊论文
FRONTIERS IN NEUROROBOTICS, 2019, 卷号: 13, 期号: 61, 页码: 14
作者:  Zhou, Junjie;  Chen, Jiahao;  Deng, Hu;  Qiao, Hong
Adobe PDF(3654Kb)  |  收藏  |  浏览/下载：388/48  |  提交时间：2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning  
Salient object detection based on an efficient End-to-End Saliency Regression Network 期刊论文
NEUROCOMPUTING, 2019, 卷号: 323, 期号: 1, 页码: 265-276
作者:  Xi, Xuanyang;  Luo, Yongkang;  Wang, Peng;  Qiao, Hong
浏览  |  Adobe PDF(3011Kb)  |  收藏  |  浏览/下载：517/96  |  提交时间：2019/01/08
Salient object detection  Saliency regression  Deep convolutional neural networks  Fully convolutional networks