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An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747
作者:  Siuly Siuly;  Varun Bajaj;  Abdulkadir Sengur;  Yanchun Zhang
浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载：171/56  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
A Survey on 3D Visual Tracking of Multicopters 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 707-719
作者:  Qiang Fu;  Xiang-Yang Chen;  Wei He
浏览  |  Adobe PDF(1299Kb)  |  收藏  |  浏览/下载：173/63  |  提交时间：2021/02/22
Multicopter  three-dimensional (3D) visual tracking  camera placement  camera calibration  pose estimation.  
An Efficient Adaptive Hierarchical Sliding Mode Control Strategy Using Neural Networks for 3D Overhead Cranes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 614-627
作者:  Viet-Anh Le;  Hai-Xuan Le;  Linh Nguyen;  Minh-Xuan Phan
浏览  |  Adobe PDF(1276Kb)  |  收藏  |  浏览/下载：157/76  |  提交时间：2021/02/22
3D overhead crane  adaptive control  hierarchical sliding mode control  neural network  radial basis function.  
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang
浏览  |  Adobe PDF(2216Kb)  |  收藏  |  浏览/下载：175/49  |  提交时间：2021/02/22
Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.  
Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574
作者:  Ao-Xue Li;  Ke-Xin Zhang;  Li-Wei Wang
浏览  |  Adobe PDF(1089Kb)  |  收藏  |  浏览/下载：205/63  |  提交时间：2021/02/22
Fine-grained image classification  zero-shot learning  deep feature learning  domain adaptation  semantic graph.  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
浏览  |  Adobe PDF(1576Kb)  |  收藏  |  浏览/下载：154/50  |  提交时间：2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.  
Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish-Eye Camera 期刊论文
International Journal of Control, Automation and Systems, 2019, 卷号: 17, 期号: 9, 页码: 2297-2309
作者:  Zou W(邹伟);  Kang ZB(亢兆兵);  Ma HX(马洪轩)
浏览  |  Adobe PDF(1258Kb)  |  收藏  |  浏览/下载：197/69  |  提交时间：2020/10/22
Adaptive control  Pose estimation  Visual trajectory tracking  Wheeled mobile robots.  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 期号: 1, 页码: 1
作者:  Chang, Jianlong
浏览  |  Adobe PDF(2735Kb)  |  收藏  |  浏览/下载：226/77  |  提交时间：2020/06/11
Local-aggregation function, local-aggregation graph neural network, non-Euclidean structured signal.  
Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish- Eye Camera 期刊论文
International Journal of Control, Automation and Systems, 2019, 卷号: 17, 期号: 2, 页码: 2297-2309
作者:  Kang, Zhaobing;  Zou, Wei;  Ma, Hongxuan;  Zhu, Zheng
浏览  |  Adobe PDF(5266Kb)  |  收藏  |  浏览/下载：274/27  |  提交时间：2020/05/09
Adaptive Control  Pose Estimation  Visual Trajectory Tracking  Wheeled Mobile Robots  
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：236/0  |  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