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检索条件"机构=Computer Systems Design Laboratory Department of Electrical and Computer Engineering"
7121 条 记 录,以下是871-880 订阅
排序:
CONTINUOUS-TIME IDENTIFICATION OF DYNAMIC STATE-SPACE MODELS BY DEEP SUBSPACE ENCODING
arXiv
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arXiv 2022年
作者: Beintema, Gerben I. Schoukens, Maarten Tóth, Roland Department of Electrical Engineering Eindhoven University of Technology Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary
Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time (DT) models. However, even with nume... 详细信息
来源: 评论
Application of Normal Form Theory to Power systems: A Proof of Concept of a Novel Structure-Preserving Approach
Application of Normal Form Theory to Power Systems: A Proof ...
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IEEE General Meeting Power& Energy Society
作者: Bin Wang Xavier Kestelyn Erfan Kharazian Aurélien Grolet Department of Electrical and Computer Engineering University of Texas at San Antonio San Antonio TX Laboratory of Electrical Engineering of Lille (L2EP) Arts et Metiers Institute of Technology (ENSAM) Lille France Laboratory of Physical and Numerical Systems (LISPEN) Arts et Metiers Institute of Technology (ENSAM) Lille France
Differential algebraic equations (DAE) of power systems, classically obtained by aggregating all component equations and network equations, are a standard input of transient stability simulation software. To add a par... 详细信息
来源: 评论
Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged Photonic-electrical Silicon Transceiver for High-speed Optical Interconnects
Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged P...
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2024 Conference on Lasers and Electro-Optics, CLEO 2024
作者: Qin, Jun Yang, Qipeng Han, Changhao Zhou, Yan Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Liu, Siming Li, Yueqin Sun, Jian Min, Miao Hu, Weiwei He, Zhixue Wang, Lei Yu, Shaohua Shu, Haowen Wang, Xingjun Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China Peng Cheng Laboratory Shenzhen518055 China State Key Laboratory of Information Photonics and Optical Communications BUPT Beijing100876 China
We explore implementing a multilevel deep neural network to enhance the performance of a 4-channel photonic-electrical hybrid-packaged silicon transceiver. Stable transmission and reception of 150 Gbps/λ PAM4 signals... 详细信息
来源: 评论
Statistical Delay and Error-Rate Bounded QoS Provisioning Over Massive-MIMO Based 6G Mobile Wireless Networks
Statistical Delay and Error-Rate Bounded QoS Provisioning Ov...
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GLOBECOM 2022 - 2022 IEEE Global Communications Conference
作者: Xi Zhang Qixuan Zhu Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA
The sixth generation (6G) mobile wireless networks are expected to provide a wide range of massive ultra-reliable and low-latency communications (mURLLC) for multimedia transmissions, which require extremely stringent... 详细信息
来源: 评论
Intelligent upper-limb exoskeleton integrated with soft bioelectronics and deep learning for intention-driven augmentation
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npj Flexible Electronics 2024年 第1期8卷 856-868页
作者: Jinwoo Lee Kangkyu Kwon Ira Soltis Jared Matthews Yoon Jae Lee Hojoong Kim Lissette Romero Nathan Zavanelli Youngjin Kwon Shinjae Kwon Jimin Lee Yewon Na Sung Hoon Lee Ki Jun Yu Minoru Shinohara Frank L.Hammond Woon-Hong Yeo Department of Mechanical Roboticsand Energy EngineeringDongguk UniversitySeoul 04620Republic of Korea IEN Center for Wearable Intelligent Systems and Healthcare Institute for Electronics and NanotechnologyGeorgia Institute of TechnologyAtlantaGA 30332USA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA School of Industrial Design Georgia Institute of TechnologyAtlantaGA 30332USA School of Electrical and Electronic Engineering Yonsei UniversitySeoul 03722Republic of Korea School of Biological Sciences Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University School of MedicineAtlantaGA 30332USA Institute for Materials Parker H.Petit Institute for Bioengineering and BiosciencesInstitute for Robotics and Intelligent MachinesGeorgia Institute of TechnologyAtlantaGA 30332USA
The age and stroke-associated decline in musculoskeletal strength degrades the ability to perform daily human tasks using the upper ***,we introduce an intelligent upper-limb exoskeleton system that utilizes deep lear... 详细信息
来源: 评论
Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
arXiv
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arXiv 2024年
作者: Yan, Yuling Wainwright, Martin J. Institute for Data Systems and Society Massachusetts Institute of Technology United States Laboratory for Information and Decision Systems Massachusetts Institute of Technology United States Department of Electrical Engineering and Computer Sciences Massachusetts Institute of Technology United States Department of Mathematics Massachusetts Institute of Technology United States
Longitudinal or panel data can be represented as a matrix with rows indexed by units and columns indexed by time. We consider inferential questions associated with the missing data version of panel data induced by sta... 详细信息
来源: 评论
1 Lyapunov Stability Analysis for Controlling UAV Trajectory Over 6G Wireless Networks
1 Lyapunov Stability Analysis for Controlling UAV Trajectory...
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MILCOM, Military Communications Conference
作者: Xi Zhang Qixuan Zhu Laboratory Department of Electrical and Computer Engineering Networking and Information Systems Texas A&M University College Station TX USA
With the commercial realization of the fifth generation (5G) wireless networks, the development of the sixth generation (6G) wireless networks has attracted considerable research attention. To meet the requirement of ... 详细信息
来源: 评论
An effective Reinforcement Learning method for preventing the overfitting of Convolutional Neural Networks
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Advances in Computational Intelligence 2022年 第5期2卷 1-15页
作者: Mahdavi-Hormat, Ali Menhaj, Mohammad Bagher Shakarami, Ashkan Department of Electrical Computer and Biomedical Engineering Islamic Azad University Qazvin Iran Department of Electrical Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran Intelligent Autonomous Systems Laboratory (IAS-Lab) Department of Information Engineering University of Padova Padua Italy
Convolutional Neural Networks are machine learning models that have proven abilities in many variants of tasks. This powerful machine learning model sometimes suffers from overfitting. This paper proposes a method bas...
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Outage and DMT Analysis of Partition-based Schemes for RIS-aided MIMO Fading Channels
arXiv
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arXiv 2023年
作者: Nicolaides, Andreas Psomas, Constantinos Kraidy, Ghassan M. Yang, Sheng Krikidis, Ioannis The IRIDA Research Centre for Communication Technologies Department of Electrical and Computer Engineering University of Cyprus Cyprus The Department of Electronic Systems Norwegian University of Science and Technology Norway The Laboratory of Signals and Systems CentraleSupélec Paris-Saclay University France
In this paper, we investigate the performance of multiple-input multiple-output (MIMO) fading channels assisted by a reconfigurable intelligent surface (RIS), through the employment of partition-based RIS schemes. The... 详细信息
来源: 评论
SIC-Free NOMA designs Via Symbol-Level Precoding
SIC-Free NOMA Designs Via Symbol-Level Precoding
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IEEE Conference on Global Communications (GLOBECOM)
作者: Yanqing Xu Fang Fang Shuai Wang Donghong Cai School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Department of Electrical and Computer Engineering Western University London ON Canada Information Systems Technology and Design Singapore University of Technology and Design Singapore College of Cyber Security Jinan University Guangzhou China
The multi-antenna non-orthogonal multiple access (NOMA) technique is a promising method to enhance energy and spectrum efficiencies of wireless communication systems through advanced precoding algorithms. However, tra...
来源: 评论