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Online reinforcement learning for continuous-state systems 专著章节/文集论文
出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, 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Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World 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作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载:277/35  |  提交时间:2017/09/13
虚拟血管介入手术中的手术器械建模与力反馈技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  魏鹏
Adobe PDF(3107Kb)  |  收藏  |  浏览/下载:460/1  |  提交时间:2015/09/02
虚拟血管介入手术培训  虚拟血管介入手术培训  有限元分析  力反馈  Vascular Surgery Simulation  Flexible Instruments Modeling  Finite Element Method  Haptic Rendering  
光学分子影像手术导航系统的软件开发与临床应用 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  叶津佐
Adobe PDF(2954Kb)  |  收藏  |  浏览/下载:382/0  |  提交时间:2015/09/02
光学分子影像  手术导航  应用软件  乳腺癌  前哨淋巴结活检  Optical Molecular Imaging  Surgical Navigation  Imaging Software  Sentinel Lymph Node  Breast Cancer  
坐卧式外骨骼下肢康复机器人的运动训练策略和交互控制方法 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  胡进
Adobe PDF(4126Kb)  |  收藏  |  浏览/下载:497/0  |  提交时间:2015/09/02
下肢康复机器人  运动训练  交互控制  生物医学信号  Lower Limb Rehabilitation Robot  Exercise Training  Interactive Control  Biomedical Signal  
冠状动脉介入仿真中创建解剖环境的关键技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  杨帆
Adobe PDF(6618Kb)  |  收藏  |  浏览/下载:267/0  |  提交时间:2015/09/02
医学影像处理  医学可视化  手术仿真  冠状动脉介入术  Medical Imaging  Medical Visualization  Surgical Simulation  Pci  
光学分子影像手术导航系统在乳腺癌方面的研究和应用 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  迟崇巍
Adobe PDF(6014Kb)  |  收藏  |  浏览/下载:341/0  |  提交时间:2015/09/02
光学分子影像  手术导航  近红外荧光成像  乳腺癌  前哨淋巴结  Optical Molecular Imaging  Surgical Navigation  Near Infrared Fluorescence Imaging  Breast Cancer  Sentinel Lymph Nodes  
Intraoperative Imaging-Guided Cancer Surgery: From Current Fluorescence Molecular Imaging Methods to Future Multi-Modality Imaging Technology 期刊论文
THERANOSTICS, 2014, 卷号: 4, 期号: 11, 页码: 1072-1084
作者:  Chi, Chongwei;  Du, Yang;  Ye, Jinzuo;  Kou, Deqiang;  Qiu, Jingdan;  Wang, Jiandong;  Tian, Jie;  Chen, Xiaoyuan
Adobe PDF(826Kb)  |  收藏  |  浏览/下载:335/44  |  提交时间:2015/08/12
Optical Molecular Imaging  Intraoperative Imaging-guided Cancer Surgery  Near-infrared Fluorescence  Multi-modality Imaging  Indocyanine Green