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A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031
作者:  Ruxiang Hua;  Wei Zou;   Guodong Chen;  Hongxuan Ma;  Wei Zhang
Adobe PDF(3022Kb)  |  收藏  |  浏览/下载：182/54  |  提交时间：2023/07/04
Digital camouflage  spraying robot  path optimization  parameter setting  coating thickness uniformity  
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962
作者:  Nan Jiang;  Ting Liu
Adobe PDF(1905Kb)  |  收藏  |  浏览/下载：245/55  |  提交时间：2021/11/26
Disguised voice recognition  deep belief network  feature extraction  Gammatone frequency cepstrum coefficients (GFCC)  dropout  
Mechanical Design and Dynamic Compliance Control of Lightweight Manipulator 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 926-934
作者:  Shao-Lin Zhang;  Yue-Guang Ge;  Hai-Tao Wang;  Shuo Wang
Adobe PDF(1817Kb)  |  收藏  |  浏览/下载：255/62  |  提交时间：2021/11/26
Lightweight manipulator  mechanical design  dynamic trajectory planning  compliance control  robot control  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：254/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Dynamic Event-triggered Control and Estimation: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者:  Xiaohua Ge;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：232/42  |  提交时间：2021/11/26
Networked systems  dynamic event-triggered control  dynamic event-triggered estimation  dynamic event-triggered mechanisms  vehicle active suspension system  water distribution and supply system  
Robust Optimal Higher-order-observer-based Dynamic Sliding Mode Control for VTOL Unmanned Aerial Vehicles 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 802-813
作者:  Yashar Mousavi;  Amin Zarei;  Arash Mousavi;  Mohsen Biari
Adobe PDF(4822Kb)  |  收藏  |  浏览/下载：225/46  |  提交时间：2021/09/13
Unmanned aerial vehicle  dynamic sliding mode  trajectory tracking  fractional firefly algorithm  vertical take-off and landing system  
STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730
作者:  Zhi-Wei Xu;  Xiao-Jun Wu;  Josef Kittler
Adobe PDF(1129Kb)  |  收藏  |  浏览/下载：213/55  |  提交时间：2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669
作者:  Wen-Kuan Li;  Hao-Yuan Cai;  Sheng-Lin Zhao;  Ya-Qian Liu;  Chun-Xiu Liu
Adobe PDF(10350Kb)  |  收藏  |  浏览/下载：205/50  |  提交时间：2021/07/20
High efficiency  visual-inertial odometry (VIO)  non-linear optimization  points and lines  sliding window  
A Spatial Cognitive Model that Integrates the Effects of Endogenous and Exogenous Information on the Hippocampus and Striatum 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 632-644
作者:  Jing Huang;  He-Yuan Yang;  Xiao-Gang Ruan;  Nai-Gong Yu;  Guo-Yu Zuo;  Hao-Meng Liu
Adobe PDF(1915Kb)  |  收藏  |  浏览/下载：259/70  |  提交时间：2021/07/20
Exogenous and endogenous information  hippocampus, striatum  spatial cognition  brain-inspired computation  
A Novel Heterogeneous Actor-critic Algorithm with Recent Emphasizing Replay Memory 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 619-631
作者:  Bao Xi;  Rui Wang;  Ying-Hao Cai;  TaoLu;  Shuo Wang
Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：205/60  |  提交时间：2021/07/20
Reinforcement learning (RL)  actor-critic  experience replay  training efficiency  manipulation skill learning