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An Integrated MCI Detection Framework Based on Spectral-temporal Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 786-799
作者:  Jiao Yin;  Jinli Cao;  Siuly Siuly;  Hua Wang
浏览  |  Adobe PDF(2203Kb)  |  收藏  |  浏览/下载：164/46  |  提交时间：2021/02/22
Electroencephalogram (EEG)  dementia early detection  mild cognitive impairment (MCI)  stationary wavelet transformation (SWT)  support vector machine (SVM).  
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747
作者:  Siuly Siuly;  Varun Bajaj;  Abdulkadir Sengur;  Yanchun Zhang
浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载：151/50  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 671-682
作者:  Shui-Guang Tong;  Yuan-Yuan Huang;  Zhe-Ming Tong
浏览  |  Adobe PDF(1191Kb)  |  收藏  |  浏览/下载：145/54  |  提交时间：2021/02/22
Face recognition (FR)  local binary pattern (LBP)  facial symmetry  image interferences  multi-mirror average.  
New LMI Conditions for Reduced-order Observer of Lipschitz Discrete-time Systems: Numerical and Experimental Results 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 644-654
作者:  Noussaiba Gasmi;  Assem Thabet;  Mohamed Aoun
浏览  |  Adobe PDF(1366Kb)  |  收藏  |  浏览/下载：95/27  |  提交时间：2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
A Fault Tolerant Control Scheme Using the Feasible Constrained Control Allocation Strategy 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 628-643
作者:  Mehdi Naderi;  Tor Arne Johansen;  Ali Khaki Sedigh
浏览  |  Adobe PDF(1916Kb)  |  收藏  |  浏览/下载：104/44  |  提交时间：2021/02/22
Control allocation  feasibility  fault tolerant control  model predictive control  domain of attraction.  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
浏览  |  Adobe PDF(1576Kb)  |  收藏  |  浏览/下载：133/43  |  提交时间：2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.  
Sequential Fault Diagnosis Using an Inertial Velocity Differential Evolution Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 389-397
作者:  Xiao-Hong Qiu;  Yu-Ting Hu;  Bo Li
浏览  |  Adobe PDF(792Kb)  |  收藏  |  浏览/下载：157/55  |  提交时间：2021/02/22
Differential evolution (DE)  evolutionary computation  fault isolation rate (FIR)  testability  fault diagnosis.  
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296
作者:  Bing-Tao Zhang;  Xiao-Peng Wang;  Yu Shen
浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载：174/43  |  提交时间：2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.  
An Approach to Reducing Input Parameter Volume for Fault Classifiers 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 199-212
作者:  Ann Smith;  Fengshou Gu;  Andrew D. Ball
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：140/62  |  提交时间：2021/02/22
Fault diagnosis  classification  variable clustering  data compression  big data.  
Performance Evaluation and Improvement of Chipset Assembly & Test Production Line Based on Variability 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 186-198
作者:  Chang-Jun Li;  Zong-Shi Xie;  Xin-Ran Peng;  Bo Li
浏览  |  Adobe PDF(1239Kb)  |  收藏  |  浏览/下载：132/42  |  提交时间：2021/02/22
Performance evaluation and improvement  chipset assembly & test production line (CATPL)  parameters  Little′s law  variability.