中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2020

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	New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 4, 页码: 2221-2232 作者:  Chen, Dechao;  Li, Shuai;  Wu, Qing;  Luo, Xin 收藏  |  浏览/下载：150/0  |  提交时间：2020/02/18 Manipulators  Optimization  Three-dimensional displays  Robustness  Neural networks  Task analysis  Dynamical quadratic programming (DQP)  hybrid multiple objectives  robustness  redundant robot manipulators  time-varying disturbances
	Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 3, 页码: 15 作者:  Chen, Lin;  Fu, Jianting;  Wu, Yuheng;  Li, Haochen;  Zheng, Bin 收藏  |  浏览/下载：239/0  |  提交时间：2020/02/18 surface electromyography (sEMG)  convolution neural networks (CNNs)  hand gesture recognition
	Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression 期刊论文 NEUROCOMPUTING, 2020, 卷号: 371, 页码: 78-90 作者:  Chen, Dechao;  Li, Shuai;  Wu, Qing;  Luo, Xin 收藏  |  浏览/下载：104/0  |  提交时间：2020/08/24 Coordination motion control  Zeroing neural networks (ZNNs)  Finite-time convergence  Super-twisting  Multiple robot manipulators
	Inferring Skin Lesion Segmentation With Fully Connected CRFs Based on Multiple Deep Convolutional Neural Networks 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 144246-144258 作者:  Qiu, Yuming;  Cai, Jingyong;  Qin, Xiaolin;  Zhang, Ju 收藏  |  浏览/下载：93/0  |  提交时间：2020/10/12 Lesions  Image segmentation  Skin  Measurement  Predictive models  Training  Task analysis  Deep convolutional neural networks  ensemble learning  fully connected CRFs  pigmented skin lesion segmentation
	A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model 期刊论文 CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 卷号: 65, 期号: 1, 页码: 495-510 作者:  Chen, Yuwen;  Qin, Xiaolin;  Zhang, Lige;  Yi, Bin 收藏  |  浏览/下载：89/0  |  提交时间：2020/08/24 Deep pyramid convolutional neural networks  extreme gradient boosting  heart failure prediction