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检索条件"机构=Ningxia Key Laboratory of Intelligent Information and Big Data Processing"
500 条 记 录,以下是41-50 订阅
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Clustering data stream with rough set  8
Clustering data stream with rough set
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8th International Conference on Computing and Pattern Recognition, ICCPR 2019
作者: Wan, Renxia Li, Yanyan Ningxia Key Laboratory of Intelligent Information and Big Data Processing North Minzu University Yinchuan Ningxia750021 China
In this paper, the upper and lower approximations of rough set are introduced to describe the micro-cluster feature in the procedure of clustering uncertain data stream. The proposed algorithm employs presents the mic... 详细信息
来源: 评论
FaceBench: A Multi-View Multi-Level Facial Attribute VQA dataset for Benchmarking Face Perception MLLMs
arXiv
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arXiv 2025年
作者: Wang, Xiaoqin Ma, Xusen Hou, Xianxu Ding, Meidan Li, Yudong Chen, Junliang Chen, Wenting Peng, Xiaoyang Shen, Linlin Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China AIAC Xi’an Jiaotong-Liverpool University China Tsinghua University China The Hong Kong Polytechnic University Hong Kong City University of Hong Kong Hong Kong Sun Yat-sen University China
Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in various tasks. However, effectively evaluating these MLLMs on face perception remains largely unexplored. To address this gap, we i...
来源: 评论
Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV Systems
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IEEE Transactions on Mobile Computing 2025年
作者: Chen, Zheyi Huang, Sijin Min, Geyong Ning, Zhaolong Li, Jie Zhang, Yan Fuzhou University College of Computer and Data Science Fuzhou350116 China Ministry of Education Engineering Research Center of Big Data Intelligence Fuzhou350002 China Fuzhou University Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350116 China University of Exeter Department of Computer Science Faculty of Environment Science and Economy ExeterEX4 4QF United Kingdom Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai200240 China University of Oslo Department of Informatics Oslo0316 Norway
Mobile Edge Computing (MEC) offers low-latency and high-bandwidth support for Internet-of-Vehicles (IoV) applications. However, due to high vehicle mobility and finite communication coverage of base stations, it is ha... 详细信息
来源: 评论
Overview of Infrared and Visible Image Fusion Based on Deep Learning  17th
Overview of Infrared and Visible Image Fusion Based on Deep ...
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17th International Conference on Computer Science and Education, ICCSE 2022
作者: Zhao, Haixia Chang, Xia Gao, Yuelin Ningxia Key Laboratory of Intelligent Information and Big Data Processing School of Math and Information Science North Minzu University Yinchuan China
Deep learning can extract image features automatically and then fuse them under the constraint of loss function by training multi-layer and deep neural networks, which is more intelligent, and has been successfully ap... 详细信息
来源: 评论
In-situ synthesized SiC/TiC/SiTiOC hybrid nanofiber mats for broad-range temperature microwave absorption
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Science China Technological Sciences 2025年 第6期 183-196页
作者: Yashan HUO Yuetong QIAN Minshan ZHAO Lei ZHANG Yujia TAN Zhihui HE Peng MIAO Fuchun ZHANG Wei CUI Renchao CHE School of Physics and Electronic Information Yan'an University Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data Laboratory of Advanced Materials Shanghai Key Lab of Molecular Catalysis and Innovative Materials Academy for Engineering &Technology Advanced Coatings Research Center of Ministry of Education of China Fudan University School of Materials and Chemical Engineering Xi'an Technological University School of Materials Science & Engineering Tongji University College of Physics Donghua University
Efficient, temperature-insensitive electromagnetic attenuation materials are critical for high microwave absorption at high temperatures. This study presents SiC/TiC/SiTiOC hybrid nanofiber mats constructed using an i...
来源: 评论
Server load prediction algorithm based on CM-MC for cloud systems
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Journal of Systems Engineering and Electronics 2018年 第5期29卷 1069-1078页
作者: XU Xiaolong ZHANG Qitong MOU Yiqi LU Xinyuan Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications State Key Laboratory of Information Security Chinese Academy of Sciences Shanghai Stock Exchange Technology Co. LtdShanghai Stock Exchange Institute of Big Data Research at Yancheng Nanjing University of Posts and Telecommunications
Accurate prediction of server load is important to cloud systems for improving the resource utilization, reducing the energy consumption and guaranteeing the quality of service(QoS).This paper analyzes the features of... 详细信息
来源: 评论
Investigation of open channel flow with unsubmerged rigid vegetation by the lattice Boltzmann method
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Journal of Hydrodynamics 2020年 第4期32卷 771-783页
作者: He-fang Jing Yin-juan Cai Wei-hong Wang Yakun Guo Chun-guang Li Yu-chuan Bai State Key Laboratory of Hydraulic Engineering Simulation and Safety Tianjin UniversityTianjin 300350China Key Laboratory of Intelligent Information and Big Data Processing of Ningxia Province Yinchuan 750021China School of Civil Engineering North Minzu UniversityYinchuan 750021China Faculty of Engineering and Informatics University of BradfordBradfordUK
The aquatic vegetation can significantly affect the flow structure,the sediment transport,the bed scour and the water quality in rivers,lakes,reservoirs and open *** this study,the lattice Boltzmann method(LBM)is appl... 详细信息
来源: 评论
Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV Systems
arXiv
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arXiv 2025年
作者: Chen, Zheyi Huang, Sijin Min, Geyong Ning, Zhaolong Li, Jie Zhang, Yan College of Computer and Data Science Fuzhou University Fuzhou350116 China Engineering Research Center of Big Data Intelligence Ministry of Education Fujian Key Laboratory of Network Fuzhou350002 China Computing and Intelligent Information Processing [Fuzhou University Fuzhou350116 China Department of Computer Science Faculty of Environment Science and Economy University of Exeter ExeterEX4 4QF United Kingdom School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Informatics University of Oslo Oslo0316 Norway
Mobile Edge Computing (MEC) offers low-latency and high-bandwidth support for Internet-of-Vehicles (IoV) applications. However, due to high vehicle mobility and finite communication coverage of base stations, it is ha... 详细信息
来源: 评论
DRLO: Optimizing edge server placement in dynamic MEC scenarios using deep reinforcement learning
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Computer Networks 2025年 268卷
作者: Yingya Guo Cen Chen College of Computer and Data Science Fuzhou University PR China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University PR China Engineering Research Center of Big Data Intelligence Ministry of Education Fujian PR China
As an emerging computing paradigm, Mobile Edge Computing (MEC) significantly enhances user experience and alleviates network congestion by strategically deploying edge servers in close proximity to mobile users. Howev...
来源: 评论
Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots
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IEEE/CAA Journal of Automatica Sinica 2022年 第8期9卷 1452-1463页
作者: Mei Liu Xiaoyan Zhang Mingsheng Shang Long Jin School of Information Science and Engineering Lanzhou UniversityLanzhou 730000 State Key Laboratory of Tibetan Intelligent Information Processing and Application Xining 810016China Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Shenzhen Research Institute Lanzhou UniversityShenzhen 518063China
Aiming at the k-winners-take-all(kWTA)operation,this paper proposes a gradient-based differential kWTA(GDk WTA)*** obtaining the network,theorems and related proofs are provided to guarantee the exponential convergenc... 详细信息
来源: 评论