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NETWORKS: 作品数：2236被引量：2590H指数：16; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：杜娟贺道坤袁艳徐驰张晓林更多>>; 相关机构：东南大学北京邮电大学上海交通大学电子科技大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家高技术研究发展计划更多>>

Integration of Federated Learning and Graph Convolutional Networks for Movie Recommendation Systems: 《Computers, Materials & Continua》2025年第5期2041-2057,共17页Sony Peng Sophort Siet Ilkhomjon Sadriddinov Dae-Young Kim Kyuwon Park Doo-Soon Park; funded by Soonchunhyang University,Grant Numbers 20241422;BK21 FOUR(Fostering Outstanding Universities for Research,Grant Number 5199990914048).; Recommendation systems(RSs)are crucial in personalizing user experiences in digital environments by suggesting relevant content or items.Collaborative filtering(CF)is a widely used personalization technique that lever...; 关键词：Recommendation systems collaborative filtering graph convolutional networks federated learning framework

Impacts of lateral boundary conditions from numerical models and data-driven networks on convective-scale ensemble forecasts: 《Atmospheric and Oceanic Science Letters》2025年第2期78-85,共8页Junjie Deng Jin Zhang Haoyan Liu Hongqi Li Feng Chen Jing Chen; supported by the Strategic Research and Consulting Project of the Chinese Academy of Engineering[grant number 2024-XBZD-14];the National Natural Science Foundation of China[grant numbers 42192553 and 41922036];the Fundamental Research Funds for the Central Universities–Cemac“GeoX”Interdisciplinary Program[grant number 020714380207]。; The impacts of lateral boundary conditions(LBCs)provided by numerical models and data-driven networks on convective-scale ensemble forecasts are investigated in this study.Four experiments are conducted on the Hangzho...; 关键词：Ensemble forecast Convective scale Lateral boundary conditions Data-driven network

Kolmogorov-Arnold networks modeling of wall pressure wavenumber-frequency spectra under turbulent boundary layers: 《Theoretical & Applied Mechanics Letters》2025年第2期115-121,共7页Zhiteng Zhou Yi Liu Shizhao Wang Guowei He; supported by the National Natural Science Foundation of China Basic Science Center Program for“Multiscale Problems in Nonlinear Mechanics”(Grant No.11988102);the National Natural Science Foundation of China(Grant Nos.92252203,12102439,and 12425207);the Chinese Academy of Sciences Project for Young Scientists in Basic Research(Grant No.YSBR-087);the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDB0620102).; The empirical models for wavenumber-frequency spectra of wall pressure are broadly used in the fast prediction of aerodynamic and hydrodynamic noise.However,it needs to fit the parameter using massive data and is only...; 关键词：Wavenumber-frequency spectra Kolmogorov-Arnold networks modeling Turbulent boundary layers

Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks: 《CSEE Journal of Power and Energy Systems》2025年第2期944-948,共5页Yiyao Zhou Qianggang Wang Xiaolong Xu Tao Huang Jianquan Liao Yuan Chi Xuefei Zhang Niancheng Zhou; Optimal Power Flow (OPF) plays a crucial role in optimization and operation of the bipolar DC distribution network (Bi-DCDN). However, existing OPF models encounter difficulties in the power optimization of Bi-DCDNs d...; 关键词：Bipolar DC distribution network branchflow model optimal powerflow second-order cone programming problem

Physarum polycephalum-inspired adaptive optimization design of artificial microtubular networks: 《Science China Chemistry》2025年第4期1497-1510,共14页Si-Min Zeng Di-Wei Zheng Ting Pan Xing-Lan Ding Yun Zhang Chi-Hui Yang Si-Xue Cheng Xian-Zheng Zhang; supported by the National Key Research and Development Program of China(2019YFA0905603);the National Natural Science Foundation of China(51988102,52333004,22135005)。; Natural biological microtubular networks have undergone adaptive evolutionary selection and may offer viable solutions to design challenges in artificial microtubular networks.The plasmodium of the slime mold Physarum...; 关键词：Physarum polycephalum adaptive optimization microtubular networks glucose-catalyzed reaction uric acid degradation

A comprehensive survey on graph neural network accelerators: 《Frontiers of Computer Science》2025年第2期11-29,共19页Jingyu LIU Shi CHEN Li SHEN; supported by the National Natural Science Foundation of China(Grant Nos.62032001 and 61972407).; Deep learning has gained superior accuracy on Euclidean structure data in neural networks.As a result,nonEuclidean structure data,such as graph data,has more sophisticated structural information,which can be applied i...; 关键词：graph neural network ACCELERATORS graph convolutional networks design space exploration deep learning domain-specific architecture

DPN:Dynamics Priori Networks for Radiology Report Generation: 《Tsinghua Science and Technology》2025年第2期600-609,共10页Bokai Yang Hongyang Lei Huazhen Huang Xinxin Han Yunpeng Cai; supported by the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDB38050100);the Shenzhen Science and Technology Program(No.SGDX20201103095603009);the Shenzhen Polytechnic Research Fund(No.6023310009K).; Radiology report generation is of significant importance.Unlike standard image captioning tasks,radiology report generation faces more pronounced visual and textual biases due to constrained data availability,making i...; 关键词：radiology report generation dynamic knowledge graph prior knowledge contrastive learning

改进Deep Q Networks的交通信号均衡调度算法: 《机械设计与制造》2025年第4期135-140,共6页贺道坤; 2019年江苏省高等教育教改研究立项课题(2019JSJG557)。; 为进一步缓解城市道路高峰时段十字路口的交通拥堵现象,实现路口各道路车流均衡通过,基于改进Deep Q Networks提出了一种的交通信号均衡调度算法。提取十字路口与交通信号调度最相关的特征,分别建立单向十字路口交通信号模型和线性双向...; 关键词：交通信号调度十字路口 Deep Q Networks 深度强化学习智能交通

Synergy Between Resilient Networks and Random Forests in Online Fraud Detection: 《Journal of Electronic Research and Application》2025年第2期43-50,共8页Junxi Wang Ningtao Sun Yuhan Lv Jiayi Zhou Yue Xiao; Guangdong Innovation and Entrepreneurship Training Programme for Undergraduates“Automatic Classification and Identification of Fraudulent Websites Based on Machine Learning”(Project No.:DC2023125)。; This paper explores the synergistic effect of a model combining Elastic Net and Random Forest in online fraud detection.The study selects a public network dataset containing 1781 data records,divides the dataset by 70...; 关键词：Fraudulent websites Machine learning Elastic Net Random forests

Integrated Distributed Sensing and Quantum Communication Networks: 《Research》2025年第1期899-914,共16页Yuehan Xu Tao Wang Peng Huang Guihua Zeng; supported by Innovation Program for Quantum Science and Technology(Grant No.2021ZD0300703);the National Natural Science Foundation of China(Grant No.62101320);the Shanghai Municipal Science and Technology Major Project(Grant No.2019SHZDZX01);the Hebei Provincial Science and Technology Project(Grant No.22310701D).; The integration of sensing and communication can achieve ubiquitous sensing while enabling ubiquitous communication.Within the gradually improving global communication,the integrated sensing and communication system b...; 关键词：integrated sensing quantum networks ubiquitous sensing pipeline safety monitoringwith ubiquitous communicationwithin quantum communicationquantum networks

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