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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：337/56  |  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：362/50  |  提交时间：2020/03/30
Bioinformatics  comorbidities  gene set enrichment analysis  gene ontology  neurological disease  pathway  semantic similarity  Type 2 diabetes  
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：326/89  |  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：235/36  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 7, 页码: 112921-112930
作者:  Pan, Cheng;  Tan, Jie
浏览  |  Adobe PDF(5875Kb)  |  收藏  |  浏览/下载：341/74  |  提交时间：2019/12/16
Cluster analysis  ensemble model  ridge regression  solar generation forecasting  
Inductive Zero-Shot Image Annotation via Embedding Graph 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 107816-107830
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Li, Yuejun;  Yuan, Fei
浏览  |  Adobe PDF(1472Kb)  |  收藏  |  浏览/下载：375/98  |  提交时间：2019/10/08
Contextualized word embeddings  graph convolutional network  image annotation  Node2Vec  zero-shot  
3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 55649-55658
作者:  Wang, Lei;  Meng, Weiliang;  Xi, Runping;  Zhang, Yanning;  Ma, Chengcheng;  Lu, Ling;  Zhang, Xiaopeng
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：446/85  |  提交时间：2019/07/11
CNN  feature description matrix  geometric features  point cloud  
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
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：388/103  |  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
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：399/76  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks  
Dominant and Complementary Emotion Recognition From Still Images of Faces 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 26391-26403
作者:  Guo, Jianzhu;  Lei, Zhen;  Wan, Jun;  Avots, Egils;  Hajarolasvadi, Noushin;  Knyazev, Boris;  Kuharenko, Artem;  Silveira Jacques Junior, Julio C.;  Baro, Xavier;  Demirel, Hasan;  Escalera, Sergio;  Allik, Jueri;  Anbarjafari, Gholamreza
浏览  |  Adobe PDF(14104Kb)  |  收藏  |  浏览/下载：353/78  |  提交时间：2018/10/04
Dominant and complementary emotion recognition  compound emotions  fine-grained face emotion dataset