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检索条件"机构=School of Electrical and Computer Engineering Computing Systems Laboratory"
4621 条 记 录,以下是261-270 订阅
排序:
Surrogate-Assisted Multi-Class Collaborative Teaching and Learning Optimizer for High-Dimensional Industrial Optimization Problems
Surrogate-Assisted Multi-Class Collaborative Teaching and Le...
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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024
作者: Bi, Jing Wang, Ziqi Yuan, Haitao Yang, Jinhong Zhang, Jia College of Computer Beijing University of Technology Beijing100124 China Beijing University of Technology Beijing Laboratory of Smart Environmental Protection Beijing100124 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Cssc Systems Engineering Research Institute Beijing China Lyle School of Engineering Southern Methodist University Dept. of Computer Science DallasTX United States
Swarm intelligence and evolutionary algorithms are widely applied in industrial scheduling, mobile edge computing, etc due to their strong robustness and fast optimization speed. However, some real-world industrial op... 详细信息
来源: 评论
The Utilization of a Parallel computing Algorithm for Accelerating Switching-Level Modeling of Power Electronics Simulations in a T-Type PV Inverter
The Utilization of a Parallel Computing Algorithm for Accele...
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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)
作者: Buck F. Brown Liwei Wang Zheyu Zhang Johan Enslin Yi Li Department of Electrical and Computer Engineering Clemson University North Charleston SC USA School of Computing Clemson University North Charleston SC USA Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA
High-fidelity, switching-level modeling of power electronics simulations can be computationally intensive and time-consuming. This computational burden has recently escalated further due to the increased number of con... 详细信息
来源: 评论
Depression Detection in Social Media Posts Using Transformer-Based Models and Auxiliary Features
arXiv
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arXiv 2024年
作者: Kerasiotis, Marios Ilias, Loukas Askounis, Dimitris The Decision Support Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Athens15780 Greece
The detection of depression in social media posts is crucial due to the increasing prevalence of mental health issues. Traditional machine learning algorithms often fail to capture intricate textual patterns, limiting... 详细信息
来源: 评论
DFD-Net:lung cancer detection from denoised CT scan image using deep learning
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Frontiers of computer Science 2021年 第2期15卷 119-131页
作者: Worku J.SORI Jiang FENG Arero W.GODANA Shaohui LIU Demissie J.GELMECHA School of Electrical Engineering and Computing Department of Computer Science and EngineeringAdama Science and Technology UniversityAdama1888Ethiopia Faculty of Natural Computational Science Department of Mathematics Bule Hora UniversityBule HoraHagere Maryam144Ethiopia School of Computer Science and Technology Harbin Institute of TechnologyHarbin150001China Peng Cheng Laboratory Shenzhen518052China School of Electrical Engineering and Computing Department of Electronics and Communications EngineeringAdama Science and Technology UniversityAdama1888Ethiopia
The availability of pulmonary nodules in CT scan image of lung does not completely specify *** noise in an image and morphology of nodules,like shape and size has an implicit and complex association with cancer,and th... 详细信息
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A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction Using Deep Gaussian Process
A Bayesian Learning Approach to Wireless Outdoor Heatmap Con...
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Asilomar Conference on Signals, systems & computers
作者: Xiang Zhang Yanyu Hu Imtiaz Nasim Shannon Eggers Vivek Agarwal Amitabh Mishra Joshua Daw Arupjyoti Bhuyan Sneha Kumar Kasera Mingyue Ji Technical University of Berlin Department of Electrical & Computer Engineering University of Florida Idaho National Laboratory Kahlert School of Computing University of Utah
We present a novel Bayesian learning approach to outdoor radio heatmap construction utilizing deep Gaussian Process (GP). The proposed approach employs a two-layer hierarchy that is capable of modeling more complex in... 详细信息
来源: 评论
A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
A Tube-Based Reinforcement Learning Approach for Optimal Mot...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Panagiotis Rousseas Charalampos P. Bechlioulis Kostas J. Kyriakopoulos School of Mechanical Engineering Control Systems Laboratory National Technical University of Athens Greece Department of Electrical and Computer Engineering University of Patras
In this work, a tube-based nearly optimal solution to motion planning in unknown workspaces is presented. The advantages of reactive motion planning are combined with a Policy Iteration Reinforcement Learning scheme t... 详细信息
来源: 评论
Prototype Guided Personalized Federated Intrusion Detection System  10
Prototype Guided Personalized Federated Intrusion Detection ...
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10th IEEE Smart World Congress, SWC 2024
作者: Cheng, Long Yan, Huiru Zhou, Hanlin Wang, Ying Tang, Haichuan Fang, Fang North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China Ai Lab of Crrc Academy Beijing China
Preventing network attacks and protecting user privacy are consistently hot research topics in the Internet of Things (IoT) and edge computing fields. Recent advancements in Federated Learning (FL) have shown promise ... 详细信息
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Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
arXiv
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arXiv 2024年
作者: Ilias, Loukas Doukas, George Lamprou, Vangelis Ntanos, Christos Askounis, Dimitris The Decision Support Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Athens15780 Greece
The advent of 6G/NextG networks comes along with a series of benefits, including extreme capacity, reliability, and efficiency. However, these networks may become vulnerable to new security threats. Therefore, 6G/Next... 详细信息
来源: 评论
Can you pass that tool?: Implications of Indirect Speech in Physical Human-Robot Collaboration
arXiv
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arXiv 2025年
作者: Zhang, Yan Ratnayake, Tharaka Sachintha Sew, Cherie Knibbe, Jarrod Goncalves, Jorge Johal, Wafa School of Computing and Information Systems University of Melbourne MelbourneVIC Australia University of Melbourne MelbourneVIC Australia School of Electrical Engineering and Computer Science The University of Queensland BrisbaneQLD Australia School of Computing and Informatio Systems University of Melbourne MelbourneVIC Australia
Indirect speech acts (ISAs) are a natural pragmatic feature of human communication, allowing requests to be conveyed implicitly while maintaining subtlety and flexibility. Although advancements in speech recognition h... 详细信息
来源: 评论
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters
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IEEE Transactions on Neural Networks and Learning systems 2023年 第11期34卷 9139-9148页
作者: Lin, Mingbao Cao, Liujuan Zhang, Yuxin Shao, Ling Lin, Chia-Wen Ji, Rongrong School of Informatics Xiamen University Media Analytics and Computing Laboratory Department of Artificial Intelligence Xiamen361005 China Tencent Youtu Laboratory Shanghai200233 China School of Informatics Xiamen University Fujian Key Laboratory of Sensing and Computing for Smart City Computer Science Department Xiamen361005 China Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi United Arab Emirates National Tsing Hua University Department of Electrical Engineering and the Institute of Communications Engineering Hsinchu30013 Taiwan Institute of Artificial Intelligence Xiamen University Xiamen361005 China
This article focuses on filter-level network pruning. A novel pruning method, termed CLR-RNF, is proposed. We first reveal a 'long-tail' pruning problem in magnitude-based weight pruning methods and then propo... 详细信息
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