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检索条件"机构=Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology"
290 条 记 录,以下是91-100 订阅
排序:
ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images
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Computer Systems Science & Engineering 2021年 第3期36卷 537-549页
作者: Yanyun Jiang Yuanjie Zheng Xiaodan Sui Wanzhen Jiao Yunlong He Weikuan Jia School of Information Science and Engineering Shandong Normal UniversityJinan250358China Key Laboratory of Intelligent Computing&Information Security in Universities of Shandong Shandong Provincial Key Laboratory for Novel Distributed Computer Software TechnologyInstitute of Biomedical SciencesShandong Normal UniversityJinan250358China Shandong Provincial Hospital Affiliated to Shandong University Jinan250021China INSA Lyon University of LyonCNRSInsermVilleurbanne69621CedexFrance
Multispectral imaging (MSI) technique is often used to capture imagesof the fundus by illuminating it with different wavelengths of light. However,these images are taken at different points in time such that eyeball m... 详细信息
来源: 评论
AID-DTI: ACCELERATING HIGH-FIDELITY DIFFUSION TENSOR IMAGING WITH DETAIL-PRESERVING MODEL-BASED DEEP LEARNING
arXiv
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arXiv 2024年
作者: Fan, Wenxin Cheng, Jian Li, Cheng Ma, Xinrui Yang, Jing Zou, Juan Wu, Ruoyou Liu, Qiegen Wang, Shanshan Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Software Development Environment Beihang University Beijing China Key Laboratory of Data Science and Intelligent Computing Institute of International Innovation Beihang University Zhejiang Hangzhou China Peng Cheng Laboratory Guangdong Shenzhen China Nan Chang University Jiang Xi Nan Chang China
Deep learning has shown great potential in accelerating diffusion tensor imaging (DTI). Nevertheless, existing methods tend to suffer from Rician noise and detail loss in reconstructing the DTI-derived parametric maps... 详细信息
来源: 评论
An intelligent Resource Scheduling Method with Edge Channel Deployment for BPM  19
An Intelligent Resource Scheduling Method with Edge Channel ...
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2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022
作者: Liu, Bowen Dou, Wanchun Zhou, Xiaokang Zhang, Xuyun Qi, Lianyong Dai, Fei Chen, Chaochao Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Shiga University Faculty of Data Science Hikone Japan Macquarie University Department of Computing Sydney Australia College of Computer and Software Qingdao China Southwest Forestry University College of Big Data and Intelligent Engineering Kunming China Zhejiang University College of Computer Science and Technology Hangzhou China
Edge computing is a novel computing paradigm that offers kinds of resources at the network edge. In edge computing, terminal users are connected to edge servers via the wireless network and there are various channels ... 详细信息
来源: 评论
A DECOUPLED STRUCTURE PRESERVING SCHEME FOR THE POISSON-NERNST-PLANCK NAVIER-STOKES EQUATIONS AND ITS ERROR ANALYSIS
arXiv
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arXiv 2023年
作者: Yu, Ziyao Cheng, Qing Shen, Jie Wang, Changyou Department of Mathematics West LafayetteIN47907 United States Key Laboratory of Intelligent Computing and Application Tongji University Ministry of Education Department of Mathematics Tongji University Shanghai200092 China Eastern Institute of Technology Zhejiang Ningbo315200 China
We consider in this paper a numerical approximation of Poisson-Nernst-Planck-Navier-Stokes (PNP-NS) system. We construct a decoupled semi-discrete and fully discrete scheme that enjoys the properties of positivity pre... 详细信息
来源: 评论
Detection of Children’s Molars Based on Noise Filter
Research Square
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Research Square 2022年
作者: Yan, Zhiwen Chen, Ying Song, Jinlong Zhu, Jia Li, Jianbo School of Computing Science South China Normal University Guangzhou China Key Laboratory of Intelligent Education Technology Application of Zhejiang Province Zhejiang Normal University Zhejiang China Stomatological Hospital Southern Medical University Guangzhou China
Pit and fissure sealant is for children aged seven to twelve years to prevent molars from becoming caries. In this paper, we propose a new detection framework to identify whether children need pit and fissure sealing.... 详细信息
来源: 评论
Auto-MatRegressor材料性能自动预测器:解放材料机器学习"调参师"
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Science Bulletin 2023年 第12期68卷 1259-1270,M0004页
作者: 刘悦 王双燕 杨正伟 Maxim Avdeev 施思齐 School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Shanghai Engineering Research Center of Intelligent Computing System Shanghai 200444China State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai 200444China Materials Genome Institute Shanghai UniversityShanghai 200444China Zhejiang Laboratory Hangzhou 311100China Australian Nuclear Science and Technology Organisation Sydney 2232Australia School of Chemistry The University of SydneySydney 2006Australia
机器学习因其能够快速、精准拟合数据的潜在模式而被广泛应用于材料构效关系研究。然而,材料科学家往往需要进行繁琐的模型选择及参数寻优才能构建出高精度预测模型,为了解放材料机器学习"调参师",本文研发了基于元学习的材... 详细信息
来源: 评论
A Multiplayer Perceptron Algorithm Based on Global Electrical Heterogeneity and Cardiodynamicsgram for Non-Invasive Detection of Coronary Microvascular Dysfunction
A Multiplayer Perceptron Algorithm Based on Global Electrica...
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International Conference on Electronic Engineering and Informatics (EEI)
作者: Xiaoye Zhao Yinglan Gong Jucheng Zhang Haipeng Liu Tianhai Huang Jun Jiang Ling Xia Jiandong Mao School of Instrument Science and Opto-electronic Engineering Hefei University of Technology Hefei China School of Medical Technology North Minzu University Yinchuan China Institute of Wenzhou Zhejiang University Wenzhou China Department of Clinical Engineering The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China Centre for Intelligent Healthcare Coventry University Coventry United Kingdom Department of Cardiology The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China Key Laboratory for Biomedical Engineering of Ministry of Education Zhejiang University School of Medicine Hangzhou China Institute of Biomedical Engineering Zhejiang University Hangzhou China Key Laboratory of Atmospheric Environment Remote Sensing of Ningxia Yinchuan China
Coronary microvascular dysfunction (CMD) is a key etiology of myocardial ischemia. Currently, early and non- invasive detection of CMD is lack in clinical practice. We proposed a multiplayer perceptron (MLP) model bas... 详细信息
来源: 评论
RobustPFL: Robust Personalized Federated Learning
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IEEE Transactions on Dependable and Secure computing 2025年
作者: Chen, Guorong Wang, Wei Wu, Yufang Li, Chao Xu, Guangquan Ji, Shouling Li, Tao Shen, Meng Han, Yufei Xi'an Jiaotong University Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an China Beijing Jiaotong University 3 Shangyuancun Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing100044 China Tianjin University Tianjin Key Laboratory of Advanced Networking College of Intelligence and Computing Tianjin300350 China Zhejiang University College of Computer Science and Technology Hangzhou310027 China ITAI Haihe Lab Tianjin China Nankai University College of Computer Science Tianjin300350 China Beijing Institute of Technology School of Cyberspace Security Beijing100081 China Peng Cheng Laboratory Cyberspace Security Research Center Shenzhen518066 China INRIA Bretagne Rennes35042 France
Conventional federated learning (FL) coordinated by a central server focuses on training a global model and protecting the privacy of clients' training data by storing it locally. However, the statistical heteroge... 详细信息
来源: 评论
A Greedy Strategy for Graph Cut
arXiv
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arXiv 2024年
作者: Nie, Feiping Pei, Shenfei Zheng, Zengwei Wang, Rong Li, Xuelong Northwestern Polytechnical University Shaanxi Xi’an710072 China The School of Computer and Computing Science Hangzhou City University Zhejiang Hangzhou310015 China the Key Laboratory of Intelligent Interaction and Applications Ministry of Industry and Information Technology the School of Computer Science Northwestern Polytechnical University Shaanxi Xi’an710072 China
We propose a Greedy strategy to solve the problem of Graph Cut, called GGC. It starts from the state where each data sample is regarded as a cluster and dynamically merges the two clusters which reduces the value of t...
来源: 评论
TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0
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IEEE Transactions on Consumer Electronics 2024年
作者: Xia, Yuanjun Liu, Yining Chen, Jingxue Liang, Yangfan Khan, Fazlullah Alturki, Ryan Wang, Xiaopei Guilin University of Electronic Technology Guangxi Key Laboratory of Trusted Software School of Computer and Information Security Guilin541004 China Wenzhou University of Technology School of Data Science and Artificial Intelligence Wenzhou325027 China University of Technology School of Mathematical and Physical Sciences SydneyNSW2007 Australia Jiaxing University Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems The Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province The Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing314001 China University of Nottingham Ningbo China School of Computer Science Faculty of Science and Engineering Zhejiang Ningbo315104 China Umm AI-Qura University Makkah Department of Software Engineering College of Computing Saudi Arabia Riverside Department of Computer Science and Engineering University of California CA92521 United States
Federated learning (FL) has been widely used for privacy-preserving model updates in Industry 5.0, facilitated by 6G networks. Despite FL's privacy-preserving advantages, it remains vulnerable to attacks where adv... 详细信息
来源: 评论