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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：335/54  |  提交时间：2020/03/30
Nano-scale measurement  multi-rate fusion  self-sensing  TDC  
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：374/68  |  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  
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：231/36  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014
作者:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：385/101  |  提交时间：2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks  
Lithium-Ion Cell Screening W th Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 59001-59014
作者:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei
Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：398/76  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks  
BundleNet Learning with Noisy Label via Sample Correlations 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 1, 页码: 2367-2377
作者:  Li, Chenghua;  Zhang, Chunjie;  Ding, Kun;  Li, Gang;  Cheng, Jian;  Lu, Hanqing;  Jian Cheng
Adobe PDF(1606Kb)  |  收藏  |  浏览/下载：608/248  |  提交时间：2018/05/05
Bundlenet  Sequential Data  Classification  Noisy Label  Regularization