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检索条件"机构=Science and Technology on Information Systems Engineering Laboratory"
67526 条 记 录,以下是21-30 订阅
Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages
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IEEE/CAA Journal of Automatica Sinica 2025年 第1期12卷 198-214页
作者: Fazhi Song Ning Cui Shuaiqi Chen Kai Zhang Yang Liu Xinkai Chen Jiubin Tan IEEE the Center of Ultra-precision Optoelectronic Instrument Engineering Harbin Institute of Technology the Key Laboratory of Ultra-Precision Intelligent Instrumentation Ministry of Industry and Information Technology the State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of Technology the Center of Ultraprecision Optoelectronic Instrument Engineering Harbin Institute of Technology the Key Laboratory of UltraPrecision Intelligent Instrumentation Ministry of Industry and Information Technology the Department of Electronic and Information Systems Shibaura Institute of Technology
The increasingly stringent performance requirement in integrated circuit manufacturing, characterized by smaller feature sizes and higher productivity, necessitates the wafer stage executing a extreme motion with the ... 详细信息
来源: 评论
Toward next-generation networks: A blockchain-based approach for core network architecture and roaming identity verification
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Digital Communications and Networks 2025年 第2期11卷 326-336页
作者: Yi Gong Boyuan Yu Lei Yang Fanke Meng Lei Liu Xinjue Hu Zhan Xu School of Information and Communication Engineering Beijing Information Science&Technology University Xi'an University of Posts and Telecommunications Guangzhou Institute of Technology Xidian University Intelligent Transportation Systems Research Center Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety
With the evolution of next-generation communication networks, ensuring robust Core Network(CN) architecture and data security has become paramount. This paper addresses critical vulnerabilities in the architecture of ... 详细信息
来源: 评论
STOD: toward semi-supervised tiny object detection
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Neural Computing and Applications 2024年 第27期36卷 17107-17123页
作者: Guo, Yanan Feng, Yuxin Du, Kangning Cao, Lin Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100101 China
Semi-supervised object detection aims to enhance object detectors by utilizing a large number of unlabeled images, which has gained increasing attention in natural scenes. However, when these methods are directly appl... 详细信息
来源: 评论
Observation of memristive behavior in PDMS-glass nanofluidic chip
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Nano Research 2025年 第2期18卷 725-732页
作者: Weiling Sun Yike Xiao Pingyuan Yan Fei Sun Xuan Zhang Chuanxiang Sheng Qi Wang Yefeng Yu School of Microelectronics Nanjing University of Science and TechnologyNanjing 210094China Key Laboratory of New Membrane Materials Ministry of Industry and Information TechnologySchool of Environmental and Biological EngineeringNanjing University of Science and TechnologyNanjing 210094China Department of Optical Science and Engineering School of Information Science and TechnologyFudan UniversityShanghai 200433China
Nanofluidic memristors,which use ions in electrolyte solutions as carriers,have been developed rapidly and brought new opportunities for the development of neuromorphic *** the transport and accumulation of ions in na... 详细信息
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A 3D MCAM architecture based on flash memory enabling binary neural network computing for edge AI
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science China(information sciences) 2024年 第12期67卷 302-310页
作者: Maoying BAI Shuhao WU Hai WANG Hua WANG Yang FENG Yueran QI Chengcheng WANG Zheng CHAI Tai MIN Jixuan WU Xuepeng ZHAN Jiezhi CHEN School of Information Science and Engineering Shandong University Center for Spintronic and Quantum Systems State Key Laboratory for Mechanical Behavior of MaterialsSchool of Materials Science and Engineering Xi'an Jiaotong University
The in-memory computing(IMC) architecture implemented by non-volatile memory units shows great possibilities to break the traditional von Neumann bottleneck. In this paper, a 3D IMC architecture is proposed whose unit... 详细信息
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Data-driven output regulation control for constrained linear systems
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science China(information sciences) 2025年 第3期68卷 338-353页
作者: Chaoyu XIA Yi DONG Chaoli WANG Shengyuan XU Shanghai Research Institute for Intelligent Autonomous Systems Tongji University College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous SystemsTongji University Department of Control Science and Engineering School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Automation Nanjing University of Science and Technology
This study introduces a data-driven approach for state and output feedback control addressing the constrained output regulation problem in unknown linear discrete-time systems. Our method ensures effective tracking pe... 详细信息
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Boosting for Distributed Online Convex Optimization
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Tsinghua science and technology 2023年 第4期28卷 811-821页
作者: Yuhan Hu Yawei Zhao Lailong Luo Deke Guo Science and Technology on Information Systems Engineering Laboratory National University of Defense TechnologyChangsha 410073China Medical Engineering Laboratory of Chinese PLA General Hospital and also with the School of Cyberspace SecurityDongguan University of TechnologyDongguan 523000China
Decentralized Online Learning(DOL)extends online learning to the domain of distributed ***,limitations of local data in decentralized settings lead to a decrease in the accuracy of decisions or models compared to cent... 详细信息
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BayProNet: Advancing Few-Shot Learning with Bayesian Prototype Network  24
BayProNet: Advancing Few-Shot Learning with Bayesian Prototy...
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8th International Conference on Computer science and Artificial Intelligence, CSAI 2024
作者: Gao, Cheng Lang Miao, Jiang Hui, Chen Hong Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology HuNan ChangSha China
Text classification is a challenging task in the field of Natural Language Processing (NLP), and significant progress has been made using deep learning methods. Traditional deep-learning approaches for text classifica... 详细信息
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Time-Varying Formation Tracking Control of Heterogeneous Multi-Agent systems With Intermittent Communications and Directed Switching Networks
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IEEE/CAA Journal of Automatica Sinica 2025年 第1期12卷 294-296页
作者: Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology
Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息
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Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation
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IEEE/CAA Journal of Automatica Sinica 2023年 第11期10卷 2094-2107页
作者: Shaohua Teng Zefeng Zheng Naiqi Wu Luyao Teng Wei Zhang School of Computer Science and Technology Guangdong University of TechnologyGuangzhou 510006China Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems Macao University of Science and TechnologyMacao 999078China School of Information Engineering Guangzhou Panyu PolytechicGuangzhou 511483China Faculty of Information Technology Monash University20 Exhibition Walk ClaytonVIC 3800Australia IEEE
Domain adaptation(DA) aims to find a subspace,where the discrepancies between the source and target domains are reduced. Based on this subspace, the classifier trained by the labeled source samples can classify unlabe... 详细信息
来源: 评论