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:
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载:219/48  |  提交时间:2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者:  Ma HX(马洪轩);  Zou W(邹伟);  Zhu Z(朱政);  Zhang C(张弛);  Kang ZB(亢兆兵)
Adobe PDF(3894Kb)  |  收藏  |  浏览/下载:153/40  |  提交时间:2021/06/04
Eye-in-vehicle  observation position  mobile robot  visual servoing  pan-tilt camera platform  
A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266
作者:  Jian-Ru Xue;  Jian-Wu Fang;  Pu Zhang
浏览  |  Adobe PDF(2242Kb)  |  收藏  |  浏览/下载:109/38  |  提交时间:2021/02/23
Autonomous vehicle  scene understanding  event reasoning  intention prediction  scene representation.  
Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者:  Hong-Xuan Ma;  Wei Zou;  Zheng Zhu;  Chi Zhang;  Zhao-Bing Kang
浏览  |  Adobe PDF(3894Kb)  |  收藏  |  浏览/下载:156/36  |  提交时间:2021/02/22
Eye-in-vehicle  observation position  mobile robot  visual servoing  pan-tilt camera platform.  
Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 279-291
作者:  Farid Menacer;  Abdelmalek Kadr;  Zohir Dibi
浏览  |  Adobe PDF(1651Kb)  |  收藏  |  浏览/下载:168/51  |  提交时间:2021/02/22
Nano force  sensor  carbon nanotube (CNT)  finite elements  neural network.