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A Measuring Method for Nano Displacement Based on Fusing Data of Self-Sensing and Time-Digit-Conversion 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 183070-183080
作者:  Du, Zhangming;  Zhou, Chao;  Zhang, Tianlu;  Deng, Lu;  Cao, Zhiqiang;  Cheng, Long
Adobe PDF(2959Kb)  |  收藏  |  浏览/下载：300/47  |  提交时间：2020/03/30
Nano-scale measurement  multi-rate fusion  self-sensing  TDC  
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities 期刊论文
IEEE ACCESS, 2019, 期号: 7, 页码: 183948-183970
作者:  Rahman, Md Habibur;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Uddin, Shahadat;  Quinn, Julian M. W.;  Moni, Mohammad Ali
浏览  |  Adobe PDF(9657Kb)  |  收藏  |  浏览/下载：328/43  |  提交时间：2020/03/30
Bioinformatics  comorbidities  gene set enrichment analysis  gene ontology  neurological disease  pathway  semantic similarity  Type 2 diabetes  
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 150743-150756
作者:  Zhang, Yong;  Fan, Yanbo;  Dong, Weiming;  Hu, Bao-Gang;  Ji, Qiang
收藏  |  浏览/下载：280/0  |  提交时间：2020/03/30
Gold  Estimation  Hidden Markov models  Training  Face  Task analysis  Neural networks  Facial action units  intensity estimation  deep learning  weakly supervised learning  
Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 145067-145081
作者:  Wang, Zhenyu;  Zheng, Wei;  Song, Chunfeng;  Zhang, Zhaoxiang;  Lian, Jie;  Yue, Shaolong;  Ji, Senrong
收藏  |  浏览/下载：252/0  |  提交时间：2020/03/30
AQI measurement  deep learning  CNN  image recognition.  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
浏览  |  Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：331/56  |  提交时间：2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
Attention-Guided Network for Semantic Video Segmentation 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 140680-140689
作者:  Li, Jiangyun;  Zhao, Yikai;  Fu, Jun;  Wu, Jiajia;  Liu, Jing
收藏  |  浏览/下载：256/0  |  提交时间：2020/03/30
Semantics  Image segmentation  Feature extraction  Active appearance model  Optical imaging  Context modeling  Task analysis  Semantic video segmentation  attention  convolutional neural networks  
Progressive Joint Framework for Chinese Question Entity Discovery and Linking With Question Representations 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: -, 页码: 146282-146300
作者:  Lin, Ziqi;  Zhang, Haidong;  Ni, Wancheng;  Yang, Yiping
浏览  |  Adobe PDF(3302Kb)  |  收藏  |  浏览/下载：298/74  |  提交时间：2020/03/30
Entity discovery and linking  information extraction  joint method  natural language processing  question representation model  
Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 184581-184598
作者:  Liu, Yating;  Wang, Kunfeng;  Li, Xuesong;  Bai, Tianxiang;  Wang, Fei-Yue
Adobe PDF(4276Kb)  |  收藏  |  浏览/下载：206/33  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(31078Kb)  |  收藏  |  浏览/下载：328/47  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
Rectified Exponential Units for Convolutional Neural Networks 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 101633-101640
作者:  Ying, Yao;  Su, Jianlin;  Shan, Peng;  Miao, Ligang;  Wang, Xiaolian;  Peng, Silong
Adobe PDF(5799Kb)  |  收藏  |  浏览/下载：287/41  |  提交时间：2019/12/16
Activation function  convolutional neural network  rectified exponential unit  parametric rectified exponential unit