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A Blockchain-based Framework for Collaborative Production in Distributed and Social Manufacturing 会议论文
2019 IEEE International Conference on Service Operations and Logistics, and Informatics, Zhengzhou, China, 2019-11
作者:  Ouyang,Liwei;  Yuan,Yong;  Wang,Fei-Yue
Adobe PDF(557Kb)  |  收藏  |  浏览/下载：79/30  |  提交时间：2023/06/06
Focal Loss And Double-Edge-Triggered Detector For Robust Small-Footprint Keyword Spotting 会议论文
, Brighton, United Kingdom, 2019-5-13
作者:  Liu, Bin;  Nie, Shuai;  Zhang, Yaping;  Liang, Shan;  Yang, Zhanlei;  Liu, Wenju
浏览  |  Adobe PDF(1111Kb)  |  收藏  |  浏览/下载：729/401  |  提交时间：2020/05/15
Keyword Spotting  Focal Loss  Double-edgetriggered Detecting Method  Speech Recognition  
Relation-Shape Convolutional Neural Network for Point Cloud Analysis 会议论文
, Long Beach, CA, USA, 2019-6-16
作者:  Liu, Yongcheng;  Fan, Bin;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1559Kb)  |  收藏  |  浏览/下载：286/93  |  提交时间：2020/05/08
Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 卷号: 12, 页码: 1753-1760
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(1013Kb)  |  收藏  |  浏览/下载：433/75  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 184581-184598
作者:  Liu, Yating;  Wang, Kunfeng;  Li, Xuesong;  Bai, Tianxiang;  Wang, Fei-Yue
Adobe PDF(4276Kb)  |  收藏  |  浏览/下载：234/36  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：494/115  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks 期刊论文
IEEE SENSORS JOURNAL, IEEE SENSORS JOURNAL, IEEE SENSORS JOURNAL, 2019, 2019, 2019, 卷号: 19, 19, 19, 期号: 18, 页码: 8303-8316, 8303-8316, 8303-8316
作者:  Diao, Jin;  Zhao, Deng;  Wang, Junping;  Nguyen, Hien M.;  Tang, Jine;  Zhou, Zhangbing
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载：370/48  |  提交时间：2019/12/16
Boundary detection  continuous objects  IoT sensing networks  energy efficiency  Boundary detection  continuous objects  IoT sensing networks  energy efficiency  Boundary detection  continuous objects  IoT sensing networks  energy efficiency  
无权访问的条目 会议论文
作者:  Riheng Yao;  Qiudan Li;  Lei Wang;  Daniel Zeng
Adobe PDF(362Kb)  |  收藏  |  浏览/下载：38/6  |  提交时间：2019/10/11
Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 卷号: 27, 期号: 4, 页码: 1772-1779
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Zhong, Zhiguang
Adobe PDF(1189Kb)  |  收藏  |  浏览/下载：292/16  |  提交时间：2019/09/30
Adaptive optimal control  cooperative adaptive cruise control (CACC)  heterogeneous platoon  string stability  sum-of-squares polynomial  
Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 1, 页码: 69-77
作者:  Chu, Hongjun;  Chen, Jianliang;  Wei, Qinglai;  Zhang, Weidong
收藏  |  浏览/下载：330/0  |  提交时间：2019/07/12
reduced order systems  observers  multi-agent systems  linear systems  multi-robot systems  actuators  robust control  state feedback  feedback  control system synthesis  topology  robust global consensus tracking  input saturation  agent dynamics  general linear systems  actuator saturation  input additive uncertainties  state feedback protocol  disturbance rejection  reduced-order observer-based protocol design  linear multi-agent systems  scheduled low-and-high gain feedback  network topology