中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共8条，第1-8条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Visual Reconstruction and Localization-Based Robust Robotic 6-DoF Grasping in the Wild 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 期号: 99, 页码: 72451-72464
作者:  Liang, Ji;  Zhang, Jiguang;  Pan, Bingbing;  Xu, Shibiao;  Zhao, Guangheng;  Yu, Ge;  Zhang, Xiaopeng
Adobe PDF(7490Kb)  |  收藏  |  浏览/下载：402/66  |  提交时间：2021/06/15
Grasping  Three-dimensional displays  Manipulators  Pose estimation  Solid modeling  Service robots  Feature extraction  Robotic grasping  manipulator  6-DoF pose estimation  point cloud reconstruction  
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：336/55  |  提交时间：2020/03/30
Nano-scale measurement  multi-rate fusion  self-sensing  TDC  
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：337/73  |  提交时间：2019/12/16
Cluster analysis  ensemble model  ridge regression  solar generation forecasting  
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：443/85  |  提交时间：2019/07/11
CNN  feature description matrix  geometric features  point cloud  
Decision Controller for Object Tracking With Deep Reinforcement Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 28069-28079
作者:  Zhong, Zhao;  Yang, Zichen;  Feng, Weitao;  Wu, Wei;  Hu, Yangyang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2984Kb)  |  收藏  |  浏览/下载：631/210  |  提交时间：2019/04/30
Computer vision  deep learning  object tracking  reinforcement learning  
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：386/102  |  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：609/249  |  提交时间：2018/05/05
Bundlenet  Sequential Data  Classification  Noisy Label  Regularization