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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
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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
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Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238) 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 655-670
作者:  Deepanshu Srivastava;  Venkateswara Rao Komma
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Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436
作者:  Simone Hantke;  Tobias Olenyi;  Christoph Hausner;  Tobias Appel;  Björn Schuller
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Human computation  speech analysis  crowdsourcing  gamified data collection  survey.  
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
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Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.  
Management of Control Impacts Based on Maximizing the Spread of Influence 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 341-353
作者:  Alexander Tselykh;  Vladislav Vasilev;  Larisa Tselykh
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Directed weighted graphs  control impact  spread of influence  optimization algorithm  growth model.  
Emergency Supply Chain Management Based on Rough Set – House of Quality 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 297-309
作者:  Yuan He;  Xue-Dong Liang;  Fu-Min Deng;  Zhi Li
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Emergency supply chain  Rough set  House of quality  management indicators  attribute reduction.  
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
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Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.  
A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 248-260
作者:  Xi-Wen Wu;  Chen Li;  Xuan Wang;  Hong-Ji Yang
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Creative computing  vector clock algorithm  scenario-based analysis of software architecture  sequence diagram  Breeze/architecture description language (ADL).  
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
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Fault diagnosis  classification  variable clustering  data compression  big data.