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检索条件"机构=Center for Control Engineering and Computation Electrical and Computer Engineering Department"
1954 条 记 录,以下是141-150 订阅
排序:
Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review
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IEEE Journal of Biomedical and Health Informatics 2023年 第8期27卷 3830-3843页
作者: He, Congying Chen, Yu-Yi Phang, Chun-Ren Stevenson, Cory Chen, I-Ping Jung, Tzyy-Ping Ko, Li-Wei Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Applied Arts National Yang Ming Chiao Tung University Hsinchu30010 Taiwan International Ph.D. Program in Interdisciplinary Neuroscience National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute for Neural Computation and Institute of Engineering in Medicine University of California San DiegoCA90093 United States National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Electrical and Control Engineering Department of Electronics and Electrical Engineering Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Biomedical Science and Environment Biology Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung80708 Taiwan
Wireless electroencephalography (EEG) systems have been attracting increasing attention in recent times. Both the number of articles discussing wireless EEG and their proportion relative to general EEG publications ha... 详细信息
来源: 评论
Data-Driven Adequacy and Security Assessment: Machine Learning Trends for Reliable Smart Energy Networks
Data-Driven Adequacy and Security Assessment: Machine Learni...
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Smart Grid Conference (SGC)
作者: Mohammad Mohsen Hayati Hassan Majidi Hossein Shahinzadeh Mehdi Abapour Mahmud Fotuhi-Firuzabad Gevork B. Gharehpetian Faculty of Electrical and Computer Engineering Energy Systems Research Institute (ESRI) University of Tabriz Tabriz Iran Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Center of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Tehran Iran
Smart energy networks (SENs) face numerous challenges related to security, reliability, operational uncertainties, and increasing penetration of renewable energies (REs), necessitating advanced methodologies for adequ... 详细信息
来源: 评论
PCA: Semi-Supervised Segmentation with Patch Confidence Adversarial Training
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IEEE Transactions on Network Science and engineering 2025年
作者: Xu, Zhenghua Yang, Runhe Xu, Zihang Zhang, Shuo Yang, Yuchen Liu, Weipeng Xu, Weichao Chen, Junyang Lukasiewicz, Thomas Leung, Victor C. M. Hebei University of Technology State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Health Sciences and Biomedical Engineering Tianjin China The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong The Johns Hopkins University Department of Applied Mathematics and Statistic Baltimore United States Hebei University of Technology School of Artificial Intelligence Tianjin China Hebei Provincial Hospital of Traditional Chinese Medicine Digestive Disease Center Shijiazhuang China Shenzhen University College of Computer Science and Software Engineering Shenzhen China University of Oxford Department of Computer Science University  of Oxford United Kingdom Department of Computer Science United Kingdom Vienna University of Technology institute of Logic and Computation nstitute of Logic and Computation Vienna Austria
Deep-learning-based semi-supervised learning (SSL) methods have achieved a strong performance in medical image segmentation, which can alleviate doctors' expensive annotation by utilizing a large amount of unlabel... 详细信息
来源: 评论
State Estimation for Asynchronously Switched Sampled-Data Systems
State Estimation for Asynchronously Switched Sampled-Data Sy...
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IEEE Conference on Decision and control
作者: Sharad C. Shankar Guosong Yang João P. Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA Department of Electrical and Computer Engineering Rutgers University–New Brunswick Piscataway NJ USA
Asynchronously switched sampled-data systems can help model power systems and vehicles that evolve in continuous-time with switching behavior and discrete time measurements. We address the problem of jointly estimatin... 详细信息
来源: 评论
Multilayer broadband switchable absorbers based on phase-change materials
Multilayer broadband switchable absorbers based on phase-cha...
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2023 Active Photonic Platforms, APP 2023
作者: Emrose, Md Tanvir Payne, Emily L. You, Chenglong Veronis, Georgios School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States Center for Computation and Technology Louisiana State University Baton RougeLA70803 United States Department of Physics Brigham Young University - Idaho RexburgID83460 United States Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States
We introduce multilayer structures with the phase-change material germanium-antimony-tellurium (GST) for use as broadband switchable absorbers in the infrared wavelength range. We use a memetic optimization algorithm ... 详细信息
来源: 评论
Federated Learning Priorities Under the European Union Artificial Intelligence Act
arXiv
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arXiv 2024年
作者: Woisetschläger, Herbert Erben, Alexander Marino, Bill Wang, Shiqiang Lane, Nicholas D. Mayer, Ruben Jacobsen, Hans-Arno School of Computation Information and Technology Technical University of Munich Germany Department of Computer Science and Technology University of Cambridge United Kingdom IBM T.J. Watson Research Center United States Flower Labs Germany Department of Computer Science University of Bayreuth Germany Department of Electrical and Computer Engineering University of Toronto Canada
The age of AI regulation is upon us, with the European Union Artificial Intelligence Act (AI Act) leading the way. Our key inquiry is how this will affect Federated Learning (FL), whose starting point of prioritizing ... 详细信息
来源: 评论
Learning-Based State Estimation for Automated Lane-Changing
Learning-Based State Estimation for Automated Lane-Changing
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International Conference on Intelligent Transportation
作者: Won Yong Ha Sayan Chakraborty Xiaoyi Lin Kaan Ozbay Zhong-Ping Jiang Department of Electrical and Computer Engineering Control and Networks Lab New York University Brooklyn NY U.S.A. Department of Civil and Urban Engineering C2SMARTER Center New York University Brooklyn NY U.S.A.
This paper introduces a learning-based optimal control strategy enhanced with nonmodel-based state estimation to manage the complexities of lane-changing maneuvers in autonomous vehicles. Traditional approaches often ... 详细信息
来源: 评论
Flag Gadgets based on Classical Codes
arXiv
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arXiv 2022年
作者: Anker, Benjamin Marvian, Milad Department of Electrical and Computer Engineering Center for Quantum Information Control University of New Mexico United States
Fault-tolerant syndrome extraction is a key ingredient in implementing fault-tolerant quantum computations. While conventional methods use a number of extra qubits linear in the weight of the syndrome, several improve... 详细信息
来源: 评论
Design and Application of a One-Stop Mobile Application Sharing Platform for Steel Enterprises  42
Design and Application of a One-Stop Mobile Application Shar...
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42nd Chinese control Conference, CCC 2023
作者: Chen, Xinzhe Chen, Luefeng Hu, Jie Yang, Qingfeng Wu, Min Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada
As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of... 详细信息
来源: 评论
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks
arXiv
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arXiv 2022年
作者: Davydov, Alexander Jafarpour, Saber Abate, Matthew Bullo, Francesco Coogan, Samuel The Center for Control Dynamical Systems and Computation University of California Santa Barbara United States The School of Electrical and Computer Engineering Georgia Institute of Technology United States
We use interval reachability analysis to obtain robustness guarantees for implicit neural networks (INNs). INNs are a class of implicit learning models that use implicit equations as layers and have been shown to exhi... 详细信息
来源: 评论