咨询与建议

限定检索结果

文献类型

  • 258 篇 会议
  • 122 篇 期刊文献

馆藏范围

  • 380 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 238 篇 工学
    • 180 篇 计算机科学与技术...
    • 149 篇 软件工程
    • 63 篇 信息与通信工程
    • 27 篇 生物工程
    • 26 篇 电气工程
    • 25 篇 控制科学与工程
    • 21 篇 机械工程
    • 21 篇 电子科学与技术(可...
    • 19 篇 光学工程
    • 12 篇 仪器科学与技术
    • 11 篇 化学工程与技术
    • 10 篇 动力工程及工程热...
    • 10 篇 交通运输工程
    • 10 篇 生物医学工程(可授...
    • 8 篇 环境科学与工程(可...
    • 7 篇 土木工程
    • 7 篇 安全科学与工程
    • 6 篇 建筑学
  • 138 篇 理学
    • 85 篇 数学
    • 32 篇 统计学(可授理学、...
    • 29 篇 生物学
    • 26 篇 物理学
    • 11 篇 化学
    • 7 篇 系统科学
  • 75 篇 管理学
    • 44 篇 管理科学与工程(可...
    • 32 篇 图书情报与档案管...
    • 22 篇 工商管理
  • 20 篇 法学
    • 17 篇 社会学
  • 10 篇 医学
    • 9 篇 临床医学
  • 7 篇 经济学
    • 7 篇 应用经济学
  • 3 篇 教育学
  • 3 篇 农学

主题

  • 30 篇 feature extracti...
  • 16 篇 semantics
  • 11 篇 optimization
  • 9 篇 deep learning
  • 9 篇 image segmentati...
  • 9 篇 cloud computing
  • 9 篇 data models
  • 9 篇 training
  • 8 篇 predictive model...
  • 7 篇 reinforcement le...
  • 7 篇 big data
  • 7 篇 data mining
  • 7 篇 machine learning
  • 6 篇 task analysis
  • 6 篇 computational mo...
  • 6 篇 particle swarm o...
  • 6 篇 genetic algorith...
  • 6 篇 clustering algor...
  • 6 篇 computer vision
  • 5 篇 computation offl...

机构

  • 62 篇 college of mathe...
  • 62 篇 college of compu...
  • 38 篇 fujian provincia...
  • 35 篇 fujian key labor...
  • 26 篇 fujian key labor...
  • 19 篇 engineering rese...
  • 18 篇 fujian provincia...
  • 17 篇 key laboratory o...
  • 15 篇 fujian provincia...
  • 11 篇 key laboratory o...
  • 11 篇 key laboratory o...
  • 9 篇 key laboratory o...
  • 7 篇 shandong college...
  • 7 篇 shandong provinc...
  • 7 篇 peng cheng labor...
  • 7 篇 fuzhou universit...
  • 7 篇 college of mathe...
  • 7 篇 fujian provincia...
  • 7 篇 fujian provincia...
  • 7 篇 school of inform...

作者

  • 29 篇 guo wenzhong
  • 20 篇 guo kun
  • 14 篇 wenzhong guo
  • 13 篇 xing chen
  • 13 篇 xianghan zheng
  • 12 篇 wang shiping
  • 12 篇 chen xing
  • 11 篇 yu zhiyong
  • 10 篇 guolong chen
  • 9 篇 xiao ke
  • 9 篇 li jinping
  • 8 篇 xiaodong wu
  • 8 篇 zheng xianghan
  • 8 篇 ke xiao
  • 8 篇 yanhua liu
  • 8 篇 wu ling
  • 7 篇 huang fangwan
  • 7 篇 kun guo
  • 7 篇 genggeng liu
  • 6 篇 lin dazhen

语言

  • 364 篇 英文
  • 14 篇 中文
  • 7 篇 其他
检索条件"机构=Fujian Key Laboratory of Network Computing and Intelligent Information Processing"
380 条 记 录,以下是271-280 订阅
排序:
Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving
Understanding the Robustness of 3D Object Detection with Bir...
收藏 引用
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023
作者: Zhu, Zijian Zhang, Yichi Chen, Hai Dong, Yinpeng Zhao, Shu Ding, Wenbo Zhong, Jiachen Zheng, Shibao Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Institute for Ai Tsinghua University BNRist Center Thbi Lab Dept. of Comp. Sci. and Tech. China School of Computer Science and Technology Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Information Materials and Intelligent Sensing Laboratory of Anhui Province China Saic Motor Ai Lab Zhongguancun Laboratory China
3D object detection is an essential perception task in autonomous driving to understand the environments. The Bird's-Eye-View (BEV) representations have significantly improved the performance of 3D detectors with ... 详细信息
来源: 评论
Adaptive-Propagating Heterophilous Graph Convolutional network
SSRN
收藏 引用
SSRN 2024年
作者: Huang, Yang Pi, Yueyang Shi, Yiqing Wang, Shiping Guo, Wenzhong College of Computer and Data Science Fuzhou University Fuzhou350116 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China College of Photonic and Electronic Engineering Fujian Normal University Fuzhou350007 China
Graph convolutional network have significant advantages in tasks dealing with graph-structured data, but most existing approaches based on graph convolutional network usually potentially assume that nodes belonging to... 详细信息
来源: 评论
Gaussian Mixture Model Based Interest Prediction In Social networks
Gaussian Mixture Model Based Interest Prediction In Social N...
收藏 引用
IEEE International Conference on Cloud computing Technology and Science (CloudCom)
作者: Dongyun An Xianghan Zheng Chunming Rong Tahar Kechadi ChongCheng Chen College of Mathematics and Computer Science Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China Department of Electrical Engineering and Computer Science Stavanger Norway University College Dublin School of Computer Science and Informatics Ireland
In this paper, we investigate a typical clustering technology, namely, Gaussian mixture model (GMM)-based approach, for user interest prediction in social networks. The establishment of the model follows the following... 详细信息
来源: 评论
Distributed Traffic Engineering in Hybrid Software Defined networks: A Multi-agent Reinforcement Learning Framework
arXiv
收藏 引用
arXiv 2023年
作者: Guo, Yingya Tang, Qi Ma, Yulong Tian, Han Chen, Kai The College of Computer and Data Science Fuzhou University China The Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University China The Key Laboratory of Spatial Data Mining & Information Sharing Ministry of Education Fujian 350003 China The Department of Computer Science & Engineering Hong Kong University of Science & Technology Hong Kong
Traffic Engineering (TE) is an efficient technique to balance network flows and thus improves the performance of a hybrid Software Defined network (SDN). Previous TE solutions mainly leverage heuristic algorithms to c... 详细信息
来源: 评论
SPESC: A Specification Language for Smart Contracts
SPESC: A Specification Language for Smart Contracts
收藏 引用
IEEE Annual International Computer Software and Applications Conference (COMPSAC)
作者: Xiao He Bohan Qin Yan Zhu Xing Chen Yi Liu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China National Computer Network Emergency Response Technical Team Coordination Center of China
The smart contract is an interdisciplinary concept that concerns business, finance, contract law and information technology. Designing and developing a smart contract may require the close cooperation of many experts ... 详细信息
来源: 评论
Model-Driven Approach to Hadoop Deployment in Cloud
Model-Driven Approach to Hadoop Deployment in Cloud
收藏 引用
IEEE International Conference on Mobile Cloud computing, Services, and Engineering (MobileCloud)
作者: Zheyi Chen Tao Xiang Xing Chen Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology (TNLIST) Beijing China College of Mathematics and Computer Science Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou China
Due to the diversification of software and hardware resources in cloud and ever-changing demand for deployment, Hadoop deployment is faced with great challenges in difficulty and complexity. Most of present researches... 详细信息
来源: 评论
Hypergraph optimization for multi-structural geometric model fitting
arXiv
收藏 引用
arXiv 2020年
作者: Lin, Shuyuan Xiao, Guobao Yan, Yan Suter, David Wang, Hanzi Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University China School of Science Edith Cowan University Australia
Recently, some hypergraph-based methods have been proposed to deal with the problem of model fitting in computer vision, mainly due to the superior capability of hypergraph to represent the complex relationship betwee... 详细信息
来源: 评论
Learning Common and Label-Specific Features for Label Distribution Learning with Correlation information
SSRN
收藏 引用
SSRN 2024年
作者: Wu, Yilin Lin, Yaojin Guo, Wenzhong College of Computer and Data Science Fuzhou University Fuzhou350116 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China Key Laboratory of Data Science and Intelligence Application Minnan Normal University Zhangzhou363000 China
Label distribution learning quantifies the label space for each instance and has wide applicability in different fields. However, most existing work primarily focuses on common features, ignores the significance of la... 详细信息
来源: 评论
DDoS Detection and Defense Based on FLAD and SDN
DDoS Detection and Defense Based on FLAD and SDN
收藏 引用
International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
作者: Jie Dong Wenyu Fang Wanling Zheng Jinkun Liu Yanhua Liu College of Computer and Data Science Fuzhou University Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China
In order to achieve more efficient and accurate DDoS detection while ensuring data privacy, this paper proposes a DDoS detection method based on FLAD. Firstly, this paper uses the FLAD algorithm to train a global DDoS... 详细信息
来源: 评论
Adaptive Multi-Channel Contrastive Graph Convolutional network with Graph and Feature Fusion
SSRN
收藏 引用
SSRN 2023年
作者: Zhong, Luying Lu, Jielong Chen, Zhaoliang Song, Na Wang, Shiping College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China School of Mechanical Electrical and Information Engineering Putian University Putian351100 China
Multi-view semi-supervised classification is an attractive topic in real-world applications. Due to the powerful capability of gathering information from neighbors, Graph Convolutional network (GCN) has become a hotsp... 详细信息
来源: 评论