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Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
作者:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
Adobe PDF(1787Kb)  |  收藏  |  浏览/下载：321/56  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655
作者:  Zhen-Jie Yao;  Jie Bi;  Yi-Xin Chen
浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载：139/41  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 129-149
作者:  Brian D. O. Anderson;  Mengbin Ye
浏览  |  Adobe PDF(1461Kb)  |  收藏  |  浏览/下载：170/65  |  提交时间：2021/02/22
Opinion dynamics  social networks  influence networks  agent-based models  multi-agent systems  networked systems.  
Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 83-95
作者:  Qi-Chun Zhang;  Liang Hu;  John Gow
浏览  |  Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：152/50  |  提交时间：2021/02/22
Multi-input-multi-output (MIMO) stochastic systems  output feedback stabilisation  block backstepping  randomness attenuation  probabilistic decoupling  mutual information.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：230/60  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).