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检索条件"机构=Institute of Computer Control Technology"
6553 条 记 录,以下是111-120 订阅
排序:
Small Signal Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack On IoT-based Smart Grid
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IEEE Internet of Things Journal 2025年
作者: Wang, Bingdong Zhang, Zhenyong Wang, Mufeng Liu, Mengxiang Ye, Rui Deng, Ruilong Zhang, Xin Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Guizhou Power Grid Co. Ltd. Intelligent Operation Center China Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Industrial Control Technology Huzhou313000 China
Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the internet-of-things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed... 详细信息
来源: 评论
FPGA-based Real-time High-resolution Image Processing for rocket on-board processing
FPGA-based Real-time High-resolution Image Processing for ro...
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International Conference on computer Research and Development (ICCRD)
作者: Hui Zhou Xiaofeng Wang YuJia Xie Yongxiang Cao Yu Tang Yongchun Huo Huan Wen Xiongbo Zhao Chaoran Li Beijing Aerospace Automatic Control Institute National key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing China Computer Science and Engineering Beihang University Beijing China National Superior College for Engineers Beihang University Beijing China
The structure of the rocket-borne model is inherently complex, with processed images exhibiting high resolution and generating substantial amounts of data and calculations. Achieving robust real-time computing on an e... 详细信息
来源: 评论
On Word-of-Mouth and Private-Prior Sequential Social Learning
arXiv
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arXiv 2025年
作者: Da Col, Andrea Rojas, Cristian R. Krishnamurthy, Vikram The Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm100 44 Sweden The School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States
— Social learning provides a fundamental framework in economics and social sciences for studying interactions among rational agents who observe each other’s actions but lack direct access to individual beliefs. This... 详细信息
来源: 评论
Comprehensive Perturbation Consistency for Semi-Supervised Change Detection in Remote Sensing Images
Comprehensive Perturbation Consistency for Semi-Supervised C...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zan Mao Xin Li Ze Luo Yingjuan Tang Dongmei Jiang Computer Network Information Center Chinese Academy of Sciences University of the Chinese Academy of Sciences PengCheng Laboratory National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology
Currently, many change detection (CD) methods rely on supervised learning, which necessitates extensive manually annotated data, resulting in significant labor and time requirements. Recently, semi-supervised (SS) app... 详细信息
来源: 评论
DEEPCON: Improving Distributed Deep Learning Model Consistency in Edge-Cloud Environments via Distillation
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IEEE Transactions on Cognitive Communications and Networking 2025年
作者: Qian, Bin Qian, Jiaxu Wen, Zhenyu Wu, Di He, Shibo Chen, Jiming Ranjan, Rajiv Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China Zhejiang University of Technology Institute of Cyberspace Security College of Information Engineering Hangzhou China University of St Andrews School of Computer Science United Kingdom Newcastle University United Kingdom
In a typical distributed Deep Learning (DL) based application, models are configured differently to meet the requirements of resource constraints. For instance, a large ResNet56 model is deployed on the cloud server w... 详细信息
来源: 评论
Advancing Medical Innovation through Blockchain-Secured Federated Learning for Smart Health
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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页
作者: Khan, Salabat Khan, Mansoor Khan, Muhammad Asghar Wang, Lu Wu, Kaishun Qilu Institute of Technology School of Computer and Information Engineering Jinan China Qilu Institute of Technology School of Intelligent Manufacturing and Control Engineering Jinan China Prince Mohammad Bin Fahd University Department of Electrical Engineering P.O. Box 1664 Al-Khobar31952 Saudi Arabia Shenzhen University College of Computer Science and Software Engineering Shenzhen China Thrust Guangzhou China
The rapid digitization of healthcare systems has led to a vast accumulation of electronic medical records (EMRs), offering an invaluable source of patient data that can significantly advance medical research and impro... 详细信息
来源: 评论
Fe2O3-Functionalized MoS2 Nanostructure Sensor for High-Sensitivity and Low-Level SO2 Detection
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ACS Sensors 2025年
作者: Gond, Rahul Barala, Suraj Shukla, Prajjwal Bassi, Gaurav Kumar, Suresh Kumar, Mukesh Kumar, Mahesh Rawat, Brajesh Department of Electrical Engineering Indian Institute of Technology Ropar Punjab Rupnagar140001 India IDRP-Space Science and Technology Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Physics Indian Institute of Technology Ropar Punjab Rupnagar140001 India Department of Physics Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Electrical Engineering Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Cybernetics Nanotechnology and Data Processing Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland
Real-time sulfur dioxide (SO2) monitoring is essential to mitigate its severe health and environmental impacts while ensuring compliance with industrial safety and emission regulations. Two-dimensional MoS2 stands out... 详细信息
来源: 评论
Trajectory control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach
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IEEE Transactions on Wireless Communications 2025年
作者: Tarekegn, Getaneh Berie Tesfaw, Belayneh Abebe Juang, Rong-Terng Saha, Dola Tarekegn, Robel Berie Lin, Hsin-Piao Tai, Li-Chia Nycu Department of Electrical and Computer Engineering 1001 University Road Hsinchu300 Taiwan Nycu Institute of Electrical and Control Engineering 1001 University Road Hsinchu300 Taiwan National Taipei University of Technology Department of Electrical Engineering and Computer Science Taipei10608 Taiwan National Taipei University of Technology Institute of Aerospace and System Engineering Taipei10608 Taiwan University at Albany Suny Department of Electrical and Computer Engineering AlbanyNY12222 United States
Due to their highly flexible deployment and agility features, unmanned aerial vehicles (UAVs) serving as aerial base stations are increasingly being used in challenging environments, including emergency communication,... 详细信息
来源: 评论
Efficient Coordination and Synchronization of Multi-Robot Systems Under Recurring Linear Temporal Logic
arXiv
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arXiv 2025年
作者: Peron, Davide Fernandez-Ayala, Victor Nan Vlahakis, Eleftherios E. Dimarogonas, Dimos V. Department of Information Engineering University of Padova Padova35122 Italy Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden
We consider multi-robot systems under recurring tasks formalized as linear temporal logic (LTL) specifications. To solve the planning problem efficiently, we propose a bottom-up approach combining offline plan synthes... 详细信息
来源: 评论
Excess Mean Squared Error of Empirical Bayes Estimators
arXiv
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arXiv 2025年
作者: Ju, Yue Wahlberg, Bo Hjalmarsson, Håkan Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden Competence Centre for Advanced BioProduction by Continuous Processing AdBIOPRO Sweden
Empirical Bayes estimators are based on minimizing the average risk with the hyper-parameters in the weighting function being estimated from observed data. The performance of an empirical Bayes estimator is typically ... 详细信息
来源: 评论