中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：341/58  |  提交时间：2020/03/30
Nano-scale measurement  multi-rate fusion  self-sensing  TDC  
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：273/0  |  提交时间：2020/03/30
AQI measurement  deep learning  CNN  image recognition.  
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：241/38  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 166704-166710
作者:  Liang, Sheng;  Zhao, Xiaoting;  Liu, Ruijun;  Zhang, Xiaodong;  Wang, Liang;  Zhang, Xinghua;  Lv, Yisheng;  Meng, Fanchao
收藏  |  浏览/下载：304/0  |  提交时间：2020/03/30
Fiber-optic distributed vibration sensor (DVS)  fiber-optic nerve of ground  phi-OTDR  smart ground  Internet of Things (IoT)  smart traffic  traffic flow  
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：350/49  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss