中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共23条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：244/48  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Ensuring the Correctness of Regular Expressions: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 521-535
作者:  Li-Xiao Zheng
Adobe PDF(1076Kb)  |  收藏  |  浏览/下载：108/29  |  提交时间：2021/07/20
Regular expressions  correctness  string generation  learning  static checking  verification  visualization, repairing  
Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17
作者:  Yue Wu;  Jun-Wei Liu;  Chen-Zhuo Zhu;  Zhuang-Fei Bai;  Qi-Guang Miao;  Wen-Ping Ma;  Mao-Guo Gong
浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载：222/61  |  提交时间：2021/02/23
Computational intelligence  evolutionary computation  neural network  deep learning  remote sensing image registration  
Design and Analysis of a Novel 2T2R Parallel Mechanism with the Closed-loop Limbs 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 654-666
作者:  Hai-Rong Fang;  Peng-Fei Liu;  Hui Yang;  Bing-Shan Jiang
Adobe PDF(2387Kb)  |  收藏  |  浏览/下载：168/49  |  提交时间：2021/07/20
2T2R parallel mechanism  close loop structure  high stiffness  kinematics analysis  workspace  
Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 277-287
作者:  Tri Wahyu Utomo, Adha Imam Cahyadi, Igi Ardiyanto
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：141/51  |  提交时间：2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：174/41  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
The Propagation Background in Social Networks: Simulating and Modeling 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 353-363
作者:  Kai Li;  Tong Xu;  Shuai Feng;  Li-Sheng Qiao;  Hua-Wei Shen;  Tian-Yang Lv;  Xue-Qi Cheng;  En-Hong Chen
Adobe PDF(1398Kb)  |  收藏  |  浏览/下载：112/45  |  提交时间：2021/02/22
Social network  information overload  propagation background  simulating  modeling.  
Remote Sensing Image Registration Based on Improved KAZE and BRIEF Descriptor 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 588-598
作者:  Huan Liu;  Gen-Fu Xiao
Adobe PDF(2330Kb)  |  收藏  |  浏览/下载：123/31  |  提交时间：2021/02/22
Remote sensing image  image registration  composite nonlinear diffusion filter  binary code string  multi-scale pyramid space.  
Kinematic Analysis of an Under-actuated, Closed-loop Front-end Assembly of a Dragline Manipulator 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 527-538
作者:  Muhammad A. Wardeh;  Samuel Frimpong
Adobe PDF(1312Kb)  |  收藏  |  浏览/下载：135/54  |  提交时间：2021/02/22
Dragline mining manipulator  underactuated closed-loop mechanism  generalized speeds  Baumgarte′s stabilization technique (BST)  feedforward displacement.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：159/29  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.