HFCAS OpenIR

浏览/检索结果: 共10条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A Build-In Data Inversion Method to Retrieve Aerosol Size Distributions for a Portable Ultrafine Particle Sizer (PUPS) 期刊论文
IEEE ACCESS, 2021, 卷号: 9
作者:  Yang, Jie;  Wang, Huanqin;  Zhou, Jitong;  Chen, Da-Ren;  Kong, Deyi;  Yu, Fajun;  Gui, Huaqiao;  Liu, Jianguo;  Chen, Mingjie
收藏  |  浏览/下载:41/0  |  提交时间:2021/03/15
Multiple charging  excessive overlap  classification voltages  post facto smoothing  synthesized data  
Progressive RSS Data Augmenter With Conditional Adversarial Networks 期刊论文
IEEE ACCESS, 2020, 卷号: 8
作者:  Chen LF(陈良锋);  Zhang ST(张树涛);  Tan HB(谭海波);  Lv B(吕波)
浏览  |  Adobe PDF(5073Kb)  |  收藏  |  浏览/下载:99/30  |  提交时间:2020/10/21
CGAN  sketch  quantitative evaluation metrics  RSS  
Enhanced Text Matching Based on Semantic Transformation 期刊论文
IEEE ACCESS, 2020, 卷号: 8
作者:  Zhang ST(张树涛);  Tan HB(谭海波);  Chen LF(陈良锋);  Lv B(吕波)
浏览  |  Adobe PDF(3658Kb)  |  收藏  |  浏览/下载:103/30  |  提交时间:2020/10/21
Cycle-consistent adversarial network domain adaptation semantic transformation text matching transformer network  
A MLEM-TV-MRP Algorithm for Fast Neutron Computed Tomography Reconstruction of High Statistical Noise and Sparse Sampling 期刊论文
IEEE ACCESS, 2020, 卷号: 8
作者:  Li, Sangang;  Dong, Zhengyun;  Gan, Quan;  Yu, Shengpeng;  Yang, Qi;  Song, Jing
浏览  |  Adobe PDF(7312Kb)  |  收藏  |  浏览/下载:123/38  |  提交时间:2020/10/22
Fast neutron computed tomography  maximum likelihood-expectation maximization  total variation  median root prior  
Weakly Supervised Local-Global Attention Network for Facial Expression Recognition 期刊论文
IEEE ACCESS, 2020, 卷号: 8
作者:  Zhang, Haifeng;  Su, Wen;  Wang, Zengfu
收藏  |  浏览/下载:61/0  |  提交时间:2020/11/26
Feature extraction  Face recognition  Mouth  Measurement  Generators  Licenses  Fuses  Facial expression recognition  weak supervision  attention mechanism  local features  global features  
Recognition of Muscle Fatigue Status Based on Improved Wavelet Threshold and CNN-SVM 期刊论文
IEEE ACCESS, 2020, 卷号: 8
作者:  Wang, Junhong;  Sun, Yining;  Sun, Shaoming
收藏  |  浏览/下载:50/0  |  提交时间:2020/12/28
Muscles  Fatigue  Feature extraction  Wavelet analysis  Support vector machines  Noise reduction  Training  Convolutional neural network-support vector machine (CNN-SVM)  muscle fatigue  sEMG  wavelet threshold  
Procedural Learning With Robust Visual Features via Low Rank Prior 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 无, 页码: 18884-18893
作者:  Li, Haifeng;  Chen, Li;  Ding, Hailun;  Li, Qi;  Sun, Bingyu;  Wu, Guohua
浏览  |  Adobe PDF(13747Kb)  |  收藏  |  浏览/下载:1555/34  |  提交时间:2020/05/21
Low-rank approximation  procedural learning  knowledge transfer  robustness visual feature  sparse  
An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field 期刊论文
IEEE ACCESS, 2019, 卷号: 7
作者:  Li, Rui;  Wang, Rujing;  Zhang, Jie;  Xie, Chengjun;  Liu, Liu;  Wang, Fangyuan;  Chen, Hongbo;  Chen, Tianjiao;  Hu, Haiying;  Jia, Xiufang;  Hu, Min;  Zhou, Man;  Li, Dengshan;  Liu, Wancai
收藏  |  浏览/下载:104/0  |  提交时间:2020/10/28
Pest localization  pest recognition  convolutional neural network  multi-scale  data augmentation  
Markov Boundary Discovery Based on Variant Ridge Regularized Linear Models 期刊论文
IEEE ACCESS, 2019, 卷号: 7
作者:  Yan, Shu;  Cui, Chaoyuan;  Sun, Bingyu;  Wang, Rujing
浏览  |  Adobe PDF(4507Kb)  |  收藏  |  浏览/下载:110/44  |  提交时间:2020/10/27
CRP_< italic xmlns:ali="http:  www  niso  org  schemas  ali  1  0  " xmlns:mml="http:  www  w3  org  1998  Math  MathML" xmlns:xlink="http:  www  w3  org  1999  xlink" xmlns:xsi="http:  www  w3  org  2001  XMLSchema-instance">delta <  italic >  Markov boundary  Markov blanket  variant ridge regression models  linear regression models  
Determination of Design Extension Conditions List and Design Optimization of Safety Systems for ADS by Lines of Defenses Method 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 20789-20795
作者:  Xu, Zhao;  Wang, Lizhi;  Jin, Ming
浏览  |  Adobe PDF(3647Kb)  |  收藏  |  浏览/下载:137/43  |  提交时间:2019/06/04
Accelerator-driven sub-critical system (ADS)  lines of defense (LOD)  design extension condition (DEC)