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检索条件"机构=Renmin University of China and Key Laboratory of Data Engineering and Knowledge Engineering"
10155 条 记 录,以下是221-230 订阅
排序:
MSPL: Multi-modal Statistical Prompt Learning for New Energy Equipment Defect Recognition
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IEEE Internet of Things Journal 2025年 第11期12卷 16438-16450页
作者: Wang, Zhenwei Wang, Pengfei Han, Guangjie Zhou, Chengjie Lin, Qing Zhang, Jianxin Fan, Guangjie Zhang, Qiang Dalian University of Technology School of Computer Science and Technology Dalian116024 China Dalian116024 China Shenyang Huayan Electric Technology Co Ltd Shenyang110180 China Hohai University Key Laboratory of Maritime Intelligent Network Information Technology Ministry of Education China Deputy Director of the Yantai Big Data Center and Senior Engineer Yantai264003 China Dalian Minzu University School of Computer Science and Engineering Dalian116600 China
Monitoring renewable energy devices is crucial for the timely detection of faults and the improvement of system stability, making it a key component of the Internet of Things (IoT) ecosystem. However, existing intelli... 详细信息
来源: 评论
Convolution Type of Metaplectic Cohen's Distribution Time-Frequency Analysis Theory, Method and Technology
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IEEE Transactions on Information Theory 2025年 第3期71卷 2292-2314页
作者: Cui, Manjun Zhang, Zhichao Han, Jie Chen, Yunjie Cao, Chunzheng Nanjing University of Information Science and Technology School of Mathematics and Statistics Center for Applied Mathematics of Jiangsu Province Jiangsu International Joint Laboratory on System Modeling and Data Analysis Nanjing210044 China Nanjing University of Information Science and Technology School of Mathematics and Statistics Nanjing210044 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Hainan Normal University Key Laboratory of Computational Science and Application of Hainan Province Haikou571158 China Nanjing University of Information Science and Technology School of Remote Sensing and Geomatics Engineering Nanjing210044 China
The conventional Cohen's distribution can't meet the requirement of additive noises jamming signals high-performance denoising under the condition of low signal-to-noise ratio, it is necessary to integrate the... 详细信息
来源: 评论
Experimental and Modeling Study on Void Fraction Using Thermal Distribution Sensor in Horizontal Annular Flow
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IEEE Sensors Journal 2025年 第10期25卷 17640-17649页
作者: Zhao, Ning Chen, Xiangyi Sun, Mingcong Song, Yajing Fang, Lide Li, Zhibin Hebei University College of Quality and Technical Supervision Hebei Baoding071000 China National and Local Joint Engineering Research Center of Metrology Instrument and System Hebei Baoding071002 China CCIC North China Metrology Company Ltd. Beijing100070 China Chengdu University of Information Technology School of Software Engineering Chengdu610225 China Sichuan University of Arts and Science Dazhou Key Laboratory of Government Data Security Sichuan Dazhou635000 China Xinjiang Technical Institute of Physics and Chemistry Chinese Academy of Sciences Urumqi830011 China
The void fraction is an important parameter to characterize the characteristics of annular flow, which is an important precondition for calculating the flow velocity, average density, pressure gradient, and analyzing ... 详细信息
来源: 评论
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning  34
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on ...
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34th ACM Web Conference, WWW 2025
作者: Li, Ken Shi, Bin Wei, Jiazhe Dong, Bo School of Computer Science and Technology Xi’an Jiaotong University Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi’an China School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an China School of Distance Education Xi’an Jiaotong University Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an China
Federated Graph Learning (FedGL) is an emerging Federated Learning (FL) framework that learns the graph data from various clients to train better Graph Neural Networks(GNNs) model. Owing to concerns regarding the secu... 详细信息
来源: 评论
Steel Defect Detection Algorithm Based on Multiobjective ENAS Sharing Strategy  24
Steel Defect Detection Algorithm Based on Multiobjective ENA...
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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024
作者: Zhao, Tianchen Dong, Zhiming Wang, Xianpeng National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China Ministry of Education Shenyang China Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang China Liaoning Key Laboratory of Manufacturing System and Logistics Optimization Northeastern University Shenyang China
When employing the network architecture search approach for designing a steel surface defect detector, there are issues with conflicting evaluation metrics and limited computational resources. To address this challeng... 详细信息
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SRv6-INT Enabled Network Monitoring and Measurement: Toward High-Yield Network Observability for Digital Twin  3rd
SRv6-INT Enabled Network Monitoring and Measurement: Toward...
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3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024
作者: Zhang, Xu Feng, Chuan Han, Pengchao Liu, Wei Gong, Xiaoxue Zhang, Qiupei Guo, Lei School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Institute of Intelligent Communication and Network Security Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China School of Information Engineering Guangdong University of Technology Guangzhou510006 China
Network monitoring and measurement is an important part of realizing the network digital twin. However, it introduces the problem of high cost when obtaining the status data of physical networks. Therefore, to efficie... 详细信息
来源: 评论
Crop Classification Methods Based on Siamese CBMM-CNN Architectures Using Hyperspectral Remote Sensing data  24th
Crop Classification Methods Based on Siamese CBMM-CNN Archi...
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24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
作者: Xie, Bin Zhang, Jiahao Li, Yuling Li, Yusong Dong, Xinyu College of Computer and Cyber Security Hebei Normal University Hebei Shijiazhuang China Hebei Provincial Key Laboratory of Network and Information Security Hebei Normal University Hebei Shijiazhuang China Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security Hebei Normal University Hebei Shijiazhuang China
Amidst global population growth and escalating food demands, real-time agricultural monitoring is crucial for ensuring food security. During the initial stages of crop growth, however, it faces significant challenges ... 详细信息
来源: 评论
Secure Similar Adjacent Vertex Query on Sparse Graph data in Cloud Environment  8th
Secure Similar Adjacent Vertex Query on Sparse Graph Data i...
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8th International Congress on Edge Computing, EDGE 2024, Held as Part of the Services Conference Federation, SCF 2024
作者: Tian, Yun Wu, Bin Shi, Jiaoli Zhang, Caicai Xu, Du School of Computer and Big Data Science Jiujiang University Jiujiang332005 China Jiujiang Key Laboratory of Network and Information Security Jiujiang332005 China School of Modern Information Technology Zhejiang Polytechnic University of Mechanical and Electrical Engineering Hangzhou310053 China
The development of cloud computing and the widespread application of cloud services have made outsourcing services more convenient. The need for individuals and businesses to store and manipulate the graph data they g... 详细信息
来源: 评论
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
arXiv
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arXiv 2025年
作者: Wang, Qingmei Wu, Yuxin Long, Yujie Huang, Jing Ran, Fengyuan Su, Bing Xu, Hongteng Gaoling School of Artificial Intelligence Renmin University of China China School of Cyber Science and Engineering Wuhan University China Beijing Key Laboratory of Big Data Management and Analysis Methods China
An event sequence generated by a temporal point process is often associated with a hidden and structured event branching process that captures the triggering relations between its historical and current events. In thi... 详细信息
来源: 评论
Development and validation of a nomogram model for predicting overall survival in patients with gastric carcinoma
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World Journal of Gastrointestinal Oncology 2025年 第2期17卷 132-143页
作者: Guan-Zhong Liang Xiao-Sheng Li Zu-Hai Hu Qian-Jie Xu Fang Wu Xiang-Lin Wu Hai-Ke Lei Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing 400030China Chongqing Cancer Multi-omics Big Data Application Engineering Research Center Chongqing University Cancer HospitalChongqing 400030China Department of Health Statistics School of Public HealthChongqing Medical UniversityChongqing 400016China Research Center for Medicine and Social Development School of Public HealthChongqing Medical UniversityChongqing 400016China The Research Center of Big Data Chongqing University Cancer HospitalChongqing 400030China
BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in china,with the disease's intricate and varied characteristics further amplifying its health *** forecasting of ... 详细信息
来源: 评论