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Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载:209/53  |  提交时间:2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
作者:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
Adobe PDF(1787Kb)  |  收藏  |  浏览/下载:309/50  |  提交时间:2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Inferring Functional Connectivity in fMRI Using Minimum Partial Correlation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 4, 页码: 371-385
作者:  Lei Nie;  Xian Yang1 Pau(l);  M. Matthews;  Zhi-Wei Xu;  Yi-Ke Guo
浏览  |  Adobe PDF(2876Kb)  |  收藏  |  浏览/下载:407/237  |  提交时间:2021/02/23
Functional connectivity  functional magnetic resonance imaging (fMRI)  network modelling  partial correlation  PCalgorithm  resting-state networks.  
Rail Detection Based on LSD and the Least Square Curve Fitting 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 85-95
作者:  Yun-Shui Zheng;  Yan-Wei Jin
浏览  |  Adobe PDF(1314Kb)  |  收藏  |  浏览/下载:297/100  |  提交时间:2021/02/23
Rail inspection  line segment detector (LSD) algorithm  the least square  curve fitting  foreign object detection  
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72
作者:  Abhijit Guha;  Debabrata Samanta
浏览  |  Adobe PDF(1485Kb)  |  收藏  |  浏览/下载:291/66  |  提交时间:2021/02/23
Anomaly detection  title insurance  autoencoder  one-class support vector machine (OSVM)  term frequency – inverse document frequency (TF-IDF)  robotic process automation  dimensionality reduction  
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
浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载:132/39  |  提交时间:2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
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Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
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
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Electroencephalogram (EEG)  dementia early detection  mild cognitive impairment (MCI)  stationary wavelet transformation (SWT)  support vector machine (SVM).  
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
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载:158/41  |  提交时间:2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39
作者:  Yu Hao;  Zhi-Jie Xu;  Ying Liu;  Jing Wang;  Jiu-Lun Fan
Adobe PDF(1521Kb)  |  收藏  |  浏览/下载:236/67  |  提交时间:2021/02/22
Crowd behavior  spatial-temporal texture  gray level co-occurrence matrix  information entropy.