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Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 55-70
作者:  Carlos Beltran-Perez;  Hua-Liang Wei;  Adrian Rubio-Solis
浏览  |  Adobe PDF(1710Kb)  |  收藏  |  浏览/下载：161/58  |  提交时间：2021/02/22
Nonlinear system identification  image processing  discrete cosine transform  radial basis functions  computer-aided diagnosis  neural networks.  
Tracking Registration Algorithm for Augmented Reality Based on Template Tracking 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 257-266
作者:  Peng-Xia Cao;  Wen-Xin Li;  Wei-Ping Ma
浏览  |  Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：183/48  |  提交时间：2021/02/22
Tracking registration  augmented reality  markerless  random ferns  Lucas-Kanade (LK) optical flow.  
Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609
作者:  Ali Darvish Falehi
浏览  |  Adobe PDF(3763Kb)  |  收藏  |  浏览/下载：155/46  |  提交时间：2021/02/22
Power system dynamic stability  fuzzy logic automatic generation control (FLAGC)  particle swarm optimization (PSO)  real coded genetic algorithm (RCGA)  simultaneous coordination scheme.  
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：173/24  |  提交时间：2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.  
Item Response Theory Based Ensemble in Machine Learning 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636
作者:  Ziheng Chen;  Hongshik Ahn
浏览  |  Adobe PDF(1163Kb)  |  收藏  |  浏览/下载：185/96  |  提交时间：2021/02/22
Classification  ensemble learning  item response theory  machine learning  expectation maximization (EM) algorithm.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 期号: 17, 页码: 1
作者:  Wang, Weining;  Li, Qi;  Wang, Liang
浏览  |  Adobe PDF(9045Kb)  |  收藏  |  浏览/下载：202/56  |  提交时间：2020/09/03
Object tracking, information theoretic measures, correntropy, template update, robust to complex noises