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无权访问的条目 学位论文
Authors:  庄登祥
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A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing 会议论文
, Montreal, Canada, May 20-24, 2019
Authors:  Li, Zhishuai;  Xiong, Gang;  Zhang, Xipeng;  Shen, Zhen;  Luo, Can;  Shang, Xiuqin;  Dong, Xisong;  Bian, Gui-Bin;  Wang, Xiao;  Wang, Fei-Yue
View  |  Adobe PDF(167Kb)  |  Favorite  |  View/Download:1/0  |  Submit date:2019/10/10
Orientation Optimization  Gpu  Parallel Computing  Genetic Algorithm  Additive Manufacturing  
基于注意力机制与特征融合的细粒度图像分类算法研究 学位论文
, 中国科学院自动化研究所智能化大厦1层: 中国科学院自动化研究所, 2019
Authors:  钱扬
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细粒度图像分类  注意力  特征融合  深度学习  
Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 114, 页码: 128-135
Authors:  Wang, Tao;  Gao, Tingting;  Yang, Jingbo;  Yan, Xuejiao;  Wang, Yubo;  Zhou, Xiaobo;  Tian, Jie;  Huang, Liyu;  Zhang, Ming
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Cervical cancer  Lymph nodes  Nomograms  Magnetic resonance imaging  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
Authors:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
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Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework  
基于浸入与不变理论的吸气式高超声速飞行器鲁棒自适应控制方法研究 学位论文
, 北京: 中国科学院研究生院, 2018
Authors:  韩超
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高超声速飞行器  有限时间控制  浸入与不变自适应  鲁棒自适应控制  复合自适应控制  
基于GPU的DLP 3D打印切片与支撑生成算法研究 学位论文
, 北京: 中国科学院研究生院, 2018
Authors:  张淅鹏
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3d打印  数字光处理  切片过程  摆放指向优化  支撑生成  遗传算法  Gpu并行计算  
工业智联网: 基本概念、关键技术与核心应用 期刊论文
自动化学报, 2018, 卷号: 44, 期号: 9, 页码: 1606-1617
Authors:  王飞跃;  张军;  张俊;  王晓
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工业智联网  知识自动化  虚拟数字工业  复杂系统理论  区块链  社会计算  
Immersion and Invariance Adaptive Control with σ-modification for Air-breathing Hypersonic Vehicles 会议论文
, Takamatsu, Japan, August 6-9,2017
Authors:  Han, Chao;  Liu, Zhen;  Yi, Jianqiang
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Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1857-1866
Authors:  Ye, Peijun;  Wen, Ding
View  |  Adobe PDF(1590Kb)  |  Favorite  |  View/Download:71/10  |  Submit date:2017/09/12
Traffic Sensor Location  Traffic Flow Estimation  Compressed Sensing