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检索条件"主题词=Partitioning Algorithms"
15755 条 记 录,以下是181-190 订阅
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Enhancing Community Detection with Weighted Louvain
Enhancing Community Detection with Weighted Louvain
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International Conference on Web Research (ICWR)
作者: Akram Karimi Zarandi Ali Kamandi School of Engineering Science College of Engineering University of Tehran Iran
Community detection in complex networks plays a crucial role in analyzing data structures. The Louvain algorithm is a widely used method for community detection; however, it can be improved by incorporating edge weigh... 详细信息
来源: 评论
Representative Community Detection algorithms for Attribute-Free Networks
Representative Community Detection Algorithms for Attribute-...
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International Conference on Computer and Automation Engineering, ICCAE
作者: Dongming Chen Xin Zou Yuxing He Mingzhao Xie Dongqi Wang Software College Northeastern University Shenyang China
In the field of network analysis, methods for identifying community structure often involve optimizing a specific objective function to achieve a single optimal allocation from network nodes to communities. However, i... 详细信息
来源: 评论
Sum-Rate Maximization for Partitioned-IRS-Assisted Hybrid NOMA Networks
Sum-Rate Maximization for Partitioned-IRS-Assisted Hybrid NO...
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IEEE Conference on Wireless Communications and Networking
作者: Songchao Chen Fang Liu Yuanan Liu School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China
Intelligent Reflecting Surfaces (IRS) have emerged as a revolutionary solution in next-generation (6G) wireless communication systems. Comprising numerous programmable reflecting units, IRS technology improves data tr... 详细信息
来源: 评论
An Efficient Dense Pedestrian Detection Model Based on RT-DETR
An Efficient Dense Pedestrian Detection Model Based on RT-DE...
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Power Electronics, Computer Applications (ICPECA), IEEE International Conference on
作者: Chaofan Wu Tao He Kun Yang School of Computer Science University of South China Hengyang China
Pedestrian detection is a vital study field within object detection. With the development of deep learning, models perform exceptionally well in pedestrian detection for sparse scenarios. However, their performance of... 详细信息
来源: 评论
Dcha: Distributed-Centralized Heterogeneous Architecture Enables Efficient Multi-Task Processing for Smart Sensing
Dcha: Distributed-Centralized Heterogeneous Architecture Ena...
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Design, Automation and Test in Europe Conference and Exhibition
作者: Erxiang Ren Cheng Qu Li Luo Yonghua Li Zheyu Liu Xinghua Yang Qi Wei Fei Qiao School of Electronic and Information Engineering Beijing Jiaotong University Beijing China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China MakeSens AI Beijing China College of Science Beijing Forestry University Beijing China Department of Precision Instrument Tsinghua University Beijing China Department of Electronic Engineering Tsinghua University Beijing China
The rapid development of artificial intelligence (AI) has accelerated the progression of IoT technology into the smart era. Integrating AI processing capabilities into IoT devices to create smart sensing systems holds... 详细信息
来源: 评论
Image Computation for Quantum Transition Systems
Image Computation for Quantum Transition Systems
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Design, Automation and Test in Europe Conference and Exhibition
作者: Xin Hong Dingchao Gao Sanjiang Li Shenggang Ying Mingsheng Ying Key Laboratory of System Software (Chinese Academy of Sciences) and State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Centre for Quantum Software and Information University of Technology Sydney Sydney Australia
With the rapid progress in quantum hardware and software, the need for verification of quantum systems becomes increasingly crucial. While model checking is a dominant and very successful technique for verifying class... 详细信息
来源: 评论
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare
Exploiting Boosting in Hyperdimensional Computing for Enhanc...
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Design, Automation and Test in Europe Conference and Exhibition
作者: SungHeon Jeong Hamza Errahmouni Barkam Sanggeon Yun Yeseong Kim Shaahin Angizi Mohsen Imani University of California Irvine DGIST New Jersey Institute of Technology
Hyperdimensional computing (HDC) enables efficient data encoding and processing in high-dimensional spaces, benefiting machine learning and data analysis. However, under-utilization of these spaces can lead to overfit... 详细信息
来源: 评论
Optimal Topology Design in Radially Distributed Electrification Scenarios with Distributed Generation
Optimal Topology Design in Radially Distributed Electrificat...
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Grid Edge Technologies Conference & Exposition (Grid Edge), IEEE PES
作者: Weixi Wang Robert Flores Jack Brouwer Advanced Power and Energy Program University of California Irvine Irvine California
It is known that climate change related power outages could be addressed with microgrids. Forming reliable microgrids requires connecting distributed energy sources so that electricity balance can be achieved. In this... 详细信息
来源: 评论
DNN Inference Acceleration and Reliable Task Offloading in Mobile-Edge Computing
DNN Inference Acceleration and Reliable Task Offloading in M...
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International Conference on Computing, Networking and Communications (ICNC)
作者: Changke Wang Xiaowen Huang Wenqian Zhang Guanglin Zhang College of Information Science and Technology Donghua University Shanghai China
Most computation-intensive tasks are offloaded to high-performance edge servers, making the acceleration of deep neural networks (DNNs) a prominent research topic in mobile-edge computing networks. Deploying computati... 详细信息
来源: 评论
$k$-Subspace Method
$k$-Subspace Method
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Consumer Technology (ICCT-Pacific), International Conference on
作者: Yasuhito Fujii Yoriaki Murata Hitoshi Sakano Interdisciplinary Faculty of Science and Engineering Shimane University Matsue Japan Graduate School of Natural Science and Technology Shimane University Matsue Japan
We propose the k-subspace method, a clustering method based on the subspace method, and the k-subspace classification method, a pattern recognition method that utilizes multiple subspaces for each class. Conventional ... 详细信息
来源: 评论