咨询与建议

限定检索结果

文献类型

  • 277 篇 会议
  • 131 篇 期刊文献

馆藏范围

  • 408 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 269 篇 工学
    • 210 篇 计算机科学与技术...
    • 181 篇 软件工程
    • 82 篇 信息与通信工程
    • 48 篇 生物工程
    • 31 篇 控制科学与工程
    • 28 篇 电气工程
    • 22 篇 生物医学工程(可授...
    • 16 篇 机械工程
    • 16 篇 电子科学与技术(可...
    • 15 篇 光学工程
    • 11 篇 动力工程及工程热...
    • 11 篇 化学工程与技术
    • 11 篇 网络空间安全
    • 10 篇 仪器科学与技术
    • 8 篇 土木工程
    • 8 篇 交通运输工程
  • 156 篇 理学
    • 91 篇 数学
    • 47 篇 生物学
    • 33 篇 统计学(可授理学、...
    • 23 篇 物理学
    • 14 篇 系统科学
    • 13 篇 化学
  • 85 篇 管理学
    • 49 篇 管理科学与工程(可...
    • 38 篇 图书情报与档案管...
    • 23 篇 工商管理
  • 25 篇 医学
    • 21 篇 临床医学
    • 17 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 20 篇 法学
    • 16 篇 社会学
  • 7 篇 经济学
    • 7 篇 应用经济学
  • 7 篇 教育学
  • 7 篇 农学
  • 2 篇 文学

主题

  • 22 篇 feature extracti...
  • 16 篇 semantics
  • 16 篇 training
  • 11 篇 deep learning
  • 11 篇 accuracy
  • 10 篇 neural networks
  • 9 篇 task analysis
  • 9 篇 convolution
  • 8 篇 reinforcement le...
  • 8 篇 predictive model...
  • 7 篇 object detection
  • 7 篇 data models
  • 6 篇 image enhancemen...
  • 6 篇 big data
  • 6 篇 graph neural net...
  • 6 篇 computational mo...
  • 6 篇 time series anal...
  • 6 篇 correlation
  • 6 篇 forecasting
  • 5 篇 semantic segment...

机构

  • 57 篇 college of compu...
  • 53 篇 school of comput...
  • 33 篇 shaanxi key labo...
  • 32 篇 fujian provincia...
  • 31 篇 fujian key labor...
  • 28 篇 shaanxi key labo...
  • 25 篇 school of comput...
  • 24 篇 henan key labora...
  • 19 篇 school of comput...
  • 18 篇 engineering rese...
  • 17 篇 key laboratory o...
  • 17 篇 xi'an key labora...
  • 15 篇 college of mathe...
  • 13 篇 henan engineerin...
  • 13 篇 shaanxi key labo...
  • 12 篇 college of compu...
  • 11 篇 shaanxi key labo...
  • 11 篇 college of compu...
  • 9 篇 fujian key labor...
  • 9 篇 inner mongolia e...

作者

  • 29 篇 wang zhongmin
  • 25 篇 chen yanping
  • 19 篇 guo kun
  • 18 篇 guo wenzhong
  • 16 篇 xia hong
  • 15 篇 zhongmin wang
  • 14 篇 gao cong
  • 13 篇 yanping chen
  • 12 篇 wang shiping
  • 11 篇 ma sugang
  • 10 篇 yu zhiyong
  • 10 篇 xiaoke zhu
  • 10 篇 pan xiaoying
  • 10 篇 sun jiaze
  • 9 篇 xiaopan chen
  • 9 篇 hou zhiqiang
  • 9 篇 zhu xiaoke
  • 9 篇 yang xiaobao
  • 8 篇 hong xia
  • 8 篇 jian-tao zhou

语言

  • 390 篇 英文
  • 13 篇 中文
  • 11 篇 其他
检索条件"机构=Key Laboratory of Network Data Analysis and Intelligent Processing"
408 条 记 录,以下是1-10 订阅
排序:
Underwater target recognition based on adaptive multi-feature fusion network
收藏 引用
Multimedia Tools and Applications 2025年 第10期84卷 7297-7317页
作者: Pan, Xiaoying Sun, Jia Feng, TianHao Lei, MingZhu Wang, Hao Zhang, WuXia Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an710121 China Xi’an Key Laboratory of Big Data and Intelligent Computing Xi’an710121 China School of Computer Science and Technology Xi’an University of Post & Telecommunications Xi’an710121 China
Due to the complexity of the underwater environment, underwater acoustic target recognition is more challenging than ordinary target recognition, and has become a hot topic in the field of underwater acoustics researc... 详细信息
来源: 评论
ACFM: Adaptive Channel Feature Matching for Pedestrian Re-Identification
收藏 引用
IEEE Access 2025年 13卷 82278-82290页
作者: Lu, Zhengcai Tian, Zhengwei Luzhou Vocational and Technical College School of Artificial Intelligence and Big Data Sichuan Luzhou646000 China Luzhou Key Laboratory of Intelligent Data Analysis and Processing Luzhou646000 China
Image misalignment is a significant challenge in the field of pedestrian re-identification. Previous studies typically align pedestrian features using additional models or by leveraging auxiliary information. However,... 详细信息
来源: 评论
Dynamic graph-based graph attention network for anomaly detection in industrial multivariate time series data
收藏 引用
Applied Intelligence 2025年 第6期55卷 1-18页
作者: Gao, Cong Ma, Hongye Pei, Qingqi Chen, Yanping School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an710121 China School of Telecommunications Engineering Xidian University Xi’an710071 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an710121 China
For industrial big data, anomaly detection for multivariate time series data is of critical strategic significance. However, the complexity of industrial equipment and production processes, combined with the high dime... 详细信息
来源: 评论
MSMAE-Net: multi-semantic and multi-attention enhanced network for image forgery localization
收藏 引用
Signal, Image and Video processing 2025年 第7期19卷 1-11页
作者: Liao, Jianjun Su, Lichao Lu, Menghan Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China
The popularization of modern digital image technology has brought convenience to us, but it also poses many risks. The advancement of image editing software allows anyone to modify image content effortlessly. If these... 详细信息
来源: 评论
Glare-SNet: Unsupervised Glare Suppression Balance network  27th
Glare-SNet: Unsupervised Glare Suppression Balance Network
收藏 引用
27th International Conference on Pattern Recognition, ICPR 2024
作者: Li, Pei Zuo, Chengyu Wei, Wangjuan Pan, Xiaoying Wang, Zhanhao School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an China Shaanxi Key Laboratory of Intelligent Media Computing and interaction Xi’an China Xi’an Key Laboratory of Big Data and Intelligent Computing Xi’an China
In light of the problems associated with glare and halo effects in low-light images, as well as the inadequacy of existing processing algorithms in handling details, a glare suppression balance network based on unsupe... 详细信息
来源: 评论
JDC-GCN: joint diversity and consistency graph convolutional network
收藏 引用
Neural Computing and Applications 2025年 1-17页
作者: Lin, Renjie Yao, Jie 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
In real-world scenarios, multi-view data comprises heterogeneous features, with each feature corresponding to a specific view. The objective of multi-view semi-supervised classification is to enhance classification pe... 详细信息
来源: 评论
Edge-Cloud Cooperation-Driven intelligent Sustainability Evaluation Strategy Based on IoT and CPS for Energy-Intensive Manufacturing Industries
收藏 引用
IEEE Internet of Things Journal 2025年 第9期12卷 12287-12297页
作者: Ma, Shuaiyin Huang, Yuming Chen, Yanping Xiao, Qinge Xu, Jun Leng, Jiewu Xi’an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an Key Laboratory of Big Data and Intelligent Computing School of Computer Science and Technology Xi’an710121 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Xidian University Advanced Manufacturing Technology Innovation Center Guangzhou Institute of Technology Guangzhou510555 China Guangdong University of Technology Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangzhou510006 China
The advancement of the Industry 5.0 in information technology has led to increased interest in integrating edge-cloud cooperation with Internet of Things (IoT) and cyber-physical system (CPS) designs. This integration... 详细信息
来源: 评论
A numerical magnitude aware multi-channel hierarchical encoding network for math word problem solving
收藏 引用
Neural Computing and Applications 2025年 第3期37卷 1651-1672页
作者: Xu, Junjie Chen, Yuzhong Xiao, Lingsheng Liao, Hongmiao Zhong, Jiayuan Dong, Chen College of Computer and Data Science Fuzhou University Fujian Province Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fujian Province Fuzhou350108 China
Math word problem (MWP) represents a critical research area within reading comprehension, where accurate comprehension of math problem text is crucial for generating math expressions. However, current approaches still... 详细信息
来源: 评论
Spatial-Temporal Semantic Feature Interaction network for Semantic Change Detection in Remote Sensing Images
收藏 引用
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 12090-12102页
作者: Zhang, Yuhang Zhang, Wuxia Ding, Songtao Wu, Siyuan Lu, Xiaoqiang Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing School of Computer Science and Technology Xi'an710121 China Xi'an University of Technology College of Computer Science and Engineering Shaanxi Xi'an710048 China Fuzhou University College of Physics and Information Engineering Fuzhou350002 China
Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU) corresponding to changed areas in RSI. The "from-to" information of the acqui... 详细信息
来源: 评论
An enhanced sparse subset selection model based on adaptive projection distance
收藏 引用
Evolutionary Intelligence 2025年 第3期18卷 1-15页
作者: Feng, Feng Gao, Erwei Zhi, Xiaobin Zhao, Yichuan School of Science and Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an University of Posts and Telecommunications Xi’an 710121 China School of Communication and Information Engineering Xi’an University of Posts and Telecommunications Xi’an 710121 China School of Science and Research Center for Intelligent Systems and Data Science Xi’an University of Posts and Telecommunications Xi’an 710121 China Department of Mathematics and Statistics Georgia State University Atlanta 30303 GA United States
Subset selection focuses on identifying representative samples from a large dataset to produce a data subset that can represent the main features of the original data and also reduce the data size in an effective way.... 详细信息
来源: 评论