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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:178/40  |  提交时间:2021/07/20
High efficiency  visual-inertial odometry (VIO)  non-linear optimization  points and lines  sliding window  
Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载:182/41  |  提交时间:2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
State Estimation Using Non-uniform and Delayed Information: A Review 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 125-141
作者:  Jhon A. Isaza;  Hector A. Botero;  Hernan Alvarez
浏览  |  Adobe PDF(1233Kb)  |  收藏  |  浏览/下载:127/41  |  提交时间:2021/02/23
State estimation  asynchronism  delayed measurement  non-uniform information  taxonomy.  
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
Adobe PDF(2346Kb)  |  收藏  |  浏览/下载:195/77  |  提交时间:2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载:209/61  |  提交时间:2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载:155/17  |  提交时间:2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.