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Social Manufacturing: A Paradigm Shift for Smart Prosumers in the Era of Societies 5.0 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2019, 卷号: 6, 期号: 5, 页码: 822-829
Authors:  Feign-Yue Wang;  Shang XQ(商秀芹);  Ruin Qin;  Gang Xiong;  Timo R. Nyberg
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Social Manufacturing  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
Authors:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
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Semantic guided module  action recognition  cross domain  3D convolution  attention model  
ESI工程学热点论文推送(2019年9月) 其他
2019-09-20
Authors:  张桂英
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ESI计算机科学领域热点论文(2019年09月) 其他
2019-09-17
Authors:  张桂英
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Multiple-Antenna Cooperative Spectrum Sensing Based on the Wavelet Transform and Gaussian Mixture Model 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 18, 页码: 18
Authors:  Zhang, Shunchao;  Wang, Yonghua;  Yuan, Hantao;  Wan, Pin;  Zhang, Yongwei
Favorite  |  View/Download:0/0  |  Submit date:2019/12/16
cognitive radio  spectrum sensing  multiple-antenna  wavelet transform  Gaussian mixture model  
ESI工程学领域热点论文(2019年07月) 其他
2019-07-18
Authors:  张桂英
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红外光谱的预处理和定量算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  吴义凡
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红外光谱  定量分析  散射校正  变量选择  非线性最小二乘  
红外光谱基线校正算法研究 学位论文
, 智能化大厦三层第五会议室: 中国科学院自动化研究所, 2019
Authors:  韩权杰
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红外光谱,稀疏表示,最大相关熵准则,分位数回归,增广拉格朗日优化  
Robotic Skill Learning for Precision Assembly With Microscopic Vision and Force Feedback 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 卷号: 24, 期号: 3, 页码: 1117-1128
Authors:  Qin, Fangbo;  Xu, De;  Zhang, Dapeng;  Li, Ying
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Force control  learning from demonstration  microscopic vision  precision assembly  robotic skill learning  
Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 6, 页码: 5379-5390
Authors:  Xing, Yang;  Lv, Chen;  Wang, Huaji;  Cao, Dongpu;  Velenis, Efstathios;  Wang, Fei-Yue
Favorite  |  View/Download:5/0  |  Submit date:2019/09/30
Driver behavior  driver distraction  convolutional neural network  transfer learning