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Improved Network for Face Recognition Based on Feature Super Resolution Method 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 915-925
作者:  Ling-Yi Xu;  Zoran Gajic
Adobe PDF(1989Kb)  |  收藏  |  浏览/下载：179/43  |  提交时间：2021/11/26
Face recognition  feature super resolution  multiple-branch network  deep learning  convolutional neural networks  
Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1567-1575
作者:  Guowei Dong;  Liang Cao;  Deyin Yao;  Hongyi Li;  Renquan Lu
Adobe PDF(5912Kb)  |  收藏  |  浏览/下载：159/43  |  提交时间：2021/09/03
Disturbance observer  fault-tolerant control (FTC)  multi multi-rotor unmanned aerial vehicle (multi-MUAV) attitude systems  neural networks (NNs)  output dead-zone  
Delayed Teleoperation with Force Feedback of a Humanoid Robot 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 605-618
作者:  Viviana Moya;  Emanuel Slawiñski;  Vicente Mut
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载：134/44  |  提交时间：2021/07/20
Humanoid robot  bilateral teleoperation  time delay  force feedback  walking  manipulation  
Ensuring the Correctness of Regular Expressions: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 521-535
作者:  Li-Xiao Zheng;  Shuai Ma;  Zu-Xi Chen;  Xiang-Yu Luo
Adobe PDF(1076Kb)  |  收藏  |  浏览/下载：117/32  |  提交时间：2021/07/20
Regular expressions  correctness  string generation  learning  static checking  verification  visualization, repairing  
Human-Swarm-Teaming Transparency and Trust Architecture 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1281-1295
作者:  Adam J. Hepworth;  Daniel P. Baxter;  Aya Hussein;  Kate J. Yaxley;  Essam Debie;  Hussein A. Abbass
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：263/91  |  提交时间：2021/06/11
Artificial intelligence  explainability  human-swarm teaming (HST)  interpretability  predictability  swarm shepherding  transparency  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载：203/40  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218
作者:  Wen-Han Zhu;  Wei Sun;  Xiong-Kuo Min;  Guang-Tao Zhai;  Xiao-Kang Yang
Adobe PDF(1343Kb)  |  收藏  |  浏览/下载：173/59  |  提交时间：2021/04/22
Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction  
Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1052-1066
作者:  Wenfeng Li;  Zhengchao Xie;  Yucong Cao;  Pak Kin Wong;  Jing Zhao
Adobe PDF(4200Kb)  |  收藏  |  浏览/下载：153/47  |  提交时间：2021/04/09
Active suspension  asynchronous constraints  output feedback  restricted frequency domain  sampled-data control  Takagi-Sugeno (T-S) fuzzy  
Energy Consumption Prediction of a CNC Machining Process With Incomplete Data 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 987-1000
作者:  Jian Pan;  Congbo Li;  Ying Tang;  Wei Li;  Xiaoou Li
Adobe PDF(2661Kb)  |  收藏  |  浏览/下载：183/43  |  提交时间：2021/04/09
Energy consumption prediction  incomplete data  generative adversarial imputation nets (GAIN)  gene expression programming (GEP)  
An Overview of Recommendation Techniques and Their Applications in Healthcare 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 701-717
作者:  Wenbin Yue;  Zidong Wang;  Jieyu Zhang;  Xiaohui Liu
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：210/48  |  提交时间：2021/04/09
Collaborative filtering (CF)  content-based recommendation  healthcare  recommendation system (RS)