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A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：183/55  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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：145/48  |  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
Adobe PDF(1191Kb)  |  收藏  |  浏览/下载：140/53  |  提交时间：2021/02/22
Face recognition (FR)  local binary pattern (LBP)  facial symmetry  image interferences  multi-mirror average.  
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
Adobe PDF(1916Kb)  |  收藏  |  浏览/下载：93/43  |  提交时间：2021/02/22
Control allocation  feasibility  fault tolerant control  model predictive control  domain of attraction.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：122/31  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
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
Adobe PDF(1576Kb)  |  收藏  |  浏览/下载：124/40  |  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：148/51  |  提交时间：2021/02/22
Differential evolution (DE)  evolutionary computation  fault isolation rate (FIR)  testability  fault diagnosis.  
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：134/60  |  提交时间：2021/02/22
Fault diagnosis  classification  variable clustering  data compression  big data.  
Multi-layer Contribution Propagation Analysis for Fault Diagnosis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 40-51
作者:  Ruo-Mu Tan;  Yi Cao
浏览  |  Adobe PDF(1077Kb)  |  收藏  |  浏览/下载：108/39  |  提交时间：2021/02/22
Process monitoring  fault detection and diagnosis  contribution plots  feature extraction  multivariate statistics.