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Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655
作者:  Zhen-Jie Yao;  Jie Bi;  Yi-Xin Chen
Adobe PDF(692Kb)  |  收藏  |  浏览/下载：120/33  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546
作者:  Tian-Miao Wang;  Yong Tao;  Hui Liu
Adobe PDF(2945Kb)  |  收藏  |  浏览/下载：213/57  |  提交时间：2021/02/23
Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.  
Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
作者:  Dilantha Haputhanthri;  Gunavaran Brihadiswaran;  Sahan Gunathilaka;  Dulani Meedeniya;  Sampath Jayarathna;  Mark Jaime;  Christopher Harshaw
浏览  |  Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：218/64  |  提交时间：2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
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：170/48  |  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：157/53  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
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：178/44  |  提交时间：2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.