咨询与建议

限定检索结果

文献类型

  • 1,151 篇 会议
  • 1,142 篇 期刊文献

馆藏范围

  • 2,293 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,566 篇 工学
    • 1,106 篇 计算机科学与技术...
    • 760 篇 软件工程
    • 322 篇 信息与通信工程
    • 294 篇 电气工程
    • 192 篇 控制科学与工程
    • 175 篇 生物工程
    • 107 篇 光学工程
    • 101 篇 生物医学工程(可授...
    • 94 篇 机械工程
    • 90 篇 电子科学与技术(可...
    • 76 篇 化学工程与技术
    • 70 篇 仪器科学与技术
    • 57 篇 交通运输工程
    • 51 篇 动力工程及工程热...
    • 51 篇 土木工程
    • 46 篇 建筑学
    • 45 篇 网络空间安全
  • 729 篇 理学
    • 390 篇 数学
    • 196 篇 生物学
    • 179 篇 物理学
    • 118 篇 统计学(可授理学、...
    • 97 篇 化学
    • 58 篇 系统科学
  • 382 篇 管理学
    • 234 篇 管理科学与工程(可...
    • 166 篇 图书情报与档案管...
    • 77 篇 工商管理
  • 131 篇 医学
    • 109 篇 临床医学
    • 72 篇 基础医学(可授医学...
  • 58 篇 法学
    • 44 篇 社会学
  • 43 篇 农学
  • 42 篇 教育学
    • 39 篇 教育学
  • 31 篇 经济学
  • 17 篇 文学
  • 3 篇 军事学
  • 3 篇 艺术学

主题

  • 111 篇 feature extracti...
  • 91 篇 training
  • 89 篇 semantics
  • 84 篇 deep learning
  • 57 篇 computational mo...
  • 53 篇 predictive model...
  • 47 篇 task analysis
  • 46 篇 data models
  • 45 篇 accuracy
  • 43 篇 convolution
  • 39 篇 visualization
  • 38 篇 object detection
  • 36 篇 neural networks
  • 34 篇 contrastive lear...
  • 30 篇 machine learning
  • 30 篇 convolutional ne...
  • 27 篇 data mining
  • 26 篇 graph neural net...
  • 25 篇 speech processin...
  • 24 篇 reinforcement le...

机构

  • 131 篇 south china univ...
  • 69 篇 key laboratory o...
  • 69 篇 minist educ key ...
  • 54 篇 south china univ...
  • 53 篇 south china univ...
  • 53 篇 school of comput...
  • 51 篇 pazhou lab peopl...
  • 45 篇 school of softwa...
  • 41 篇 jiangsu key labo...
  • 41 篇 south china univ...
  • 40 篇 south china univ...
  • 39 篇 school of electr...
  • 36 篇 hong kong polyte...
  • 35 篇 hunan provincial...
  • 35 篇 jiangsu key labo...
  • 34 篇 chongqing key la...
  • 33 篇 key laboratory o...
  • 32 篇 key laboratory o...
  • 32 篇 national enginee...
  • 31 篇 key laboratory o...

作者

  • 96 篇 cai yi
  • 82 篇 tan mingkui
  • 48 篇 wu qingyao
  • 43 篇 li qing
  • 40 篇 shen linlin
  • 39 篇 xu xiaolong
  • 36 篇 wang guoyin
  • 28 篇 xu xuemiao
  • 27 篇 xiaolong xu
  • 25 篇 huang qingbao
  • 24 篇 zhou zhiheng
  • 23 篇 huang qingming
  • 21 篇 xie jiayuan
  • 21 篇 xu qianqian
  • 20 篇 hongyan ma
  • 18 篇 ren haopeng
  • 18 篇 niu shuaicheng
  • 17 篇 wang tao
  • 17 篇 he shengfeng
  • 17 篇 liu yiwen

语言

  • 2,165 篇 英文
  • 104 篇 其他
  • 36 篇 中文
  • 2 篇 葡萄牙文
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 意大利文
  • 1 篇 荷兰文
检索条件"机构=Key Laboratory of Big Data and Intelligent Robot"
2293 条 记 录,以下是21-30 订阅
排序:
Transverse Velocity Field Measurement of Solar High-resolution Images Based on Unsupervised Deep Learning
收藏 引用
Research in Astronomy and Astrophysics 2025年 第3期25卷 236-248页
作者: Zhen-Hong Shang Long Chen Zhen-Ping Qiang Yi Bi Run-Xin Li Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and Technology College of Big Data and Intelligent Engineering Southwest Forestry University Yunnan Observatories Chinese Academy of Sciences
Measuring the transverse velocity field in high-resolution solar images is essential for understanding solar *** paper introduces an innovative unsupervised deep learning optical flow model designed to calculate the t... 详细信息
来源: 评论
GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball Computing
收藏 引用
IEEE Transactions on Neural Networks and Learning Systems 2025年 第5期36卷 9253-9267页
作者: Xia, Shuyin Lian, Xiaoyu Wang, Guoyin Gao, Xinbo Chen, Jiancu Peng, Xiaoli Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Computational Intelligence Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security Ministry of Education Chongqing400065 China
Granular-ball support vector machine (GBSVM) is a significant attempt to construct a classifier using the coarse-to-fine granularity of a granular ball as input, rather than a single data point. It is the first classi... 详细信息
来源: 评论
LeapGNN: Accelerating Distributed GNN Training Leveraging Feature-Centric Model Migration  23
LeapGNN: Accelerating Distributed GNN Training Leveraging Fe...
收藏 引用
23rd USENIX Conference on File and Storage Technologies, FAST 2025
作者: Chen, Weijian He, Shuibing Qu, Haoyang Zhang, Xuechen The State Key Laboratory of Blockchain and Data Security Zhejiang University China Zhejiang Lab China Institute of Blockchain and Data Security China Zhejiang Key Laboratory of Big Data Intelligent Computing China Washington State University Vancouver United States
Distributed training of graph neural networks (GNNs) has become a crucial technique for processing large graphs. Prevalent GNN frameworks are model-centric, necessitating the transfer of massive graph vertex features ... 详细信息
来源: 评论
YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios
收藏 引用
IEEE Access 2025年 13卷 76609-76619页
作者: Suo, Peichun Zhu, Jincan Zhou, Qingyang Kou, Weili Wang, Xiuyan Suo, Wen Yunnan Medical Health Vocational College Information Center Kunming650033 China Southwest Forestry University College of Big Data and Intelligent Engineering Kunming650224 China The Key Laboratory of State Forestry and Grass land Administration on Forestry Ecological Big Data Kunming650224 China Yunnan College of Business Management Kunming650106 China
The ability to distinguish between birds and drones is essential for applications in wildlife preservation, aviation security, and defense operations. Reliable identification not only reduces the risk of bird strikes ... 详细信息
来源: 评论
Laplacian Sparse Dynamic Slow Feature Analysis for Process Monitoring and Fault Isolation
收藏 引用
IEEE Sensors Journal 2025年 第9期25卷 15653-15667页
作者: Wu, Ping Xue, Yikai Ni, Yuxuan Pan, Haipeng Zhang, Xi He, Yuchen Gao, Jinfeng Zhejiang Sci-Tech University School of Information Science and Engineering Hangzhou310018 China China Jiliang University Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province Hangzhou314423 China
The process monitoring and fault isolation are essential for ensuring operational safety and maintaining product quality in the industrial processes. This study introduces a novel approach to process monitoring and fa... 详细信息
来源: 评论
LDMOS-Based Doherty Power Amplifier Design in 5G Mobile Micro Base Stations  5
LDMOS-Based Doherty Power Amplifier Design in 5G Mobile Micr...
收藏 引用
5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025
作者: Gao, Mingming Wang, Xinyu Wang, Congying Zhang, Zhongxiang Shan, Shiquan Song, Yonghui College of Electronics and Information Engineering Liaoning Technicial University Liaoning Key Laboratory of Radio Frequency and Big Data for Intelligent Applications Liaoning Huludao China
A Doherty Power Amplifier (DPA) has been designed and optimized specifically for compact mobile base station deployment, operating within a frequency range of 3.3 GHz to 3.6 GHz. The amplifier utilizes the proprietary... 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
Spatiotemporal deformation analysis of glaciers and surrounding landscapes in the Shishapangma region using InSAR techniques
收藏 引用
Journal of Mountain Science 2025年 第1期22卷 210-229页
作者: LIANG Wenli LIU Rui JI Qin KOU Pinglang Chongqing Key Laboratory of GIS Application School of Geography and TourismChongqing Normal UniversityChongqing 401331China National Earth System Science Data Center Beijing 100000China Chongqing Engineering Research Center of Spatial Big Data Intelligent Technology Chongqing University of Posts and TelecommunicationsChongqing 400065China Key Laboratory of Tourism Multisource Data Perception and Decision Ministry of Culture and Tourism(TMDPDMCT)Chongqing University of Posts and TelecommunicationsChongqing 400065China
Glacier dynamics in the Himalayan midlatitudes,particularly in regions like the Shishapangma,are not yet fully understood,especially the localized topographic and climatic impacts on glacier *** study analyzes the spa... 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
An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2025年 第3期6卷 518-532页
作者: Tian, Ye Ji, Luke Hu, Yiwei Ma, Haiping Wu, Le Zhang, Xingyi Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Hefei230601 China Anhui University Institutes of Physical Science and Information Technology Hefei230601 China Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Hefei230029 China
Represented by evolutionary algorithms and swarm intelligence algorithms, nature-inspired metaheuristics have been successfully applied to recommender systems and amply demonstrated effectiveness, in particular, for m... 详细信息
来源: 评论