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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
收藏  |  浏览/下载：251/0  |  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)  
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing
Adobe PDF(942Kb)  |  收藏  |  浏览/下载：326/62  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
FSD-10: A fine-grained classification dataset for figure skating 期刊论文
NEUROCOMPUTING, 2020, 卷号: 413, 页码: 360-367
作者:  Liu, Shenglan;  Liu, Xiang;  Huang, Gao;  Qiao, Hong;  Hu, Lianyu;  Jiang, Dong;  Zhang, Aibin;  Liu, Yang;  Guo, Ge
收藏  |  浏览/下载：194/0  |  提交时间：2021/01/07
Action recognition  Figure Skating Dataset  Fine-grained sports content analysis  Keyframe based temporal segment network  
Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning 期刊论文
NEUROCOMPUTING, 2019, 卷号: 334, 期号: 2019, 页码: 11-24
作者:  Li, Yinlin;  Jia, Lihao;  Wang, Zidong;  Qian, Yang;  Qiao, Hong
Adobe PDF(4423Kb)  |  收藏  |  浏览/下载：432/89  |  提交时间：2019/07/12
Hand segmentation  Un-supervised  Semi-supervised  Deep convolutional neural network  Noisy label  
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：417/80  |  提交时间：2019/01/08
Salient object detection  Saliency regression  Deep convolutional neural networks  Fully convolutional networks