咨询与建议

限定检索结果

文献类型

  • 799 篇 会议
  • 562 篇 期刊文献

馆藏范围

  • 1,361 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 894 篇 工学
    • 472 篇 计算机科学与技术...
    • 394 篇 软件工程
    • 256 篇 控制科学与工程
    • 139 篇 生物工程
    • 125 篇 生物医学工程(可授...
    • 123 篇 电气工程
    • 117 篇 机械工程
    • 101 篇 信息与通信工程
    • 96 篇 电子科学与技术(可...
    • 82 篇 光学工程
    • 51 篇 化学工程与技术
    • 46 篇 仪器科学与技术
    • 37 篇 力学(可授工学、理...
    • 36 篇 材料科学与工程(可...
    • 26 篇 航空宇航科学与技...
    • 25 篇 动力工程及工程热...
    • 17 篇 交通运输工程
  • 551 篇 理学
    • 316 篇 数学
    • 152 篇 生物学
    • 136 篇 物理学
    • 108 篇 系统科学
    • 85 篇 统计学(可授理学、...
    • 44 篇 化学
  • 183 篇 管理学
    • 136 篇 管理科学与工程(可...
    • 48 篇 图书情报与档案管...
    • 37 篇 工商管理
  • 70 篇 医学
    • 62 篇 临床医学
    • 40 篇 基础医学(可授医学...
    • 37 篇 药学(可授医学、理...
  • 18 篇 经济学
    • 18 篇 应用经济学
  • 15 篇 农学
  • 13 篇 法学
  • 5 篇 文学
  • 4 篇 教育学
  • 4 篇 艺术学
  • 3 篇 军事学
  • 1 篇 哲学

主题

  • 38 篇 feature extracti...
  • 33 篇 training
  • 27 篇 image processing
  • 25 篇 image segmentati...
  • 25 篇 machine learning
  • 24 篇 computational mo...
  • 22 篇 neurons
  • 21 篇 mathematical mod...
  • 21 篇 multi-agent syst...
  • 19 篇 semantics
  • 17 篇 electroencephalo...
  • 17 篇 intelligent cont...
  • 17 篇 multi agent syst...
  • 16 篇 support vector m...
  • 15 篇 laboratories
  • 15 篇 pattern recognit...
  • 15 篇 robustness
  • 14 篇 object detection
  • 14 篇 ultrasonic imagi...
  • 14 篇 neural networks

机构

  • 78 篇 school of artifi...
  • 66 篇 key laboratory o...
  • 59 篇 school of automa...
  • 50 篇 key laboratory o...
  • 40 篇 key laboratory o...
  • 39 篇 key laboratory o...
  • 35 篇 key laboratory o...
  • 32 篇 shenzhen huazhon...
  • 26 篇 department of co...
  • 26 篇 key laboratory o...
  • 25 篇 alibaba group
  • 23 篇 key laboratory o...
  • 20 篇 ministry of educ...
  • 19 篇 key laboratory o...
  • 19 篇 institute of ima...
  • 18 篇 key laboratory o...
  • 13 篇 key laboratory o...
  • 12 篇 school of artifi...
  • 12 篇 key laboratory o...
  • 12 篇 school of automa...

作者

  • 64 篇 wu dongrui
  • 58 篇 sang nong
  • 49 篇 gao changxin
  • 46 篇 zeng zhigang
  • 43 篇 zhigang zeng
  • 40 篇 jian huang
  • 37 篇 ding mingyue
  • 36 篇 pan linqiang
  • 35 篇 huang jian
  • 33 篇 yongji wang
  • 32 篇 mingyue ding
  • 31 篇 cao zhiguo
  • 30 篇 hai-tao zhang
  • 29 篇 wang yongji
  • 27 篇 housheng su
  • 26 篇 su housheng
  • 24 篇 xi li
  • 24 篇 wang xiang
  • 23 篇 liu jian
  • 23 篇 zhang shiwei

语言

  • 1,166 篇 英文
  • 163 篇 其他
  • 36 篇 中文
检索条件"机构=Key Laboratory for Image Processing and Intellectual Control"
1361 条 记 录,以下是11-20 订阅
A Survey on Negative Transfer
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2023年 第2期10卷 305-329页
作者: Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China IEEE the School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China
Transfer learning(TL)utilizes data or knowledge from one or more source domains to facilitate learning in a target *** is particularly useful when the target domain has very few or no labeled data,due to annotation ex... 详细信息
来源: 评论
Privacy and Security in Ubiquitous Integrated Sensing and Communication: Threats, Challenges and Future Directions
收藏 引用
IEEE Internet of Things Magazine 2024年 第4期7卷 52-58页
作者: Qu, Kaiqian Ye, Jia Li, Xuran Guo, Shuaishuai School of Control Science and Engineering Shandong University China Shandong University Shandong Key Laboratory of Wireless Communication Technologies China School of Electrical Engineering Chongqing University China School of Physics and Electronics Shandong Normal University Shandong Key Laboratory of Medical Physics and Image Processing China
Integrated sensing and communication (ISAC) technology is at the forefront of next-generation communication, enhancing applications from intel-ligent transportation to unmanned aerial vehicle surveillance and healthca... 详细信息
来源: 评论
Transmission-Constrained Consensus of Multiagent Networks
收藏 引用
IEEE Transactions on control of Network Systems 2023年 第3期10卷 1484-1495页
作者: Wang, Xiaotian Su, Housheng Huazhong University of Science and Technology School of Artificial Intelligence and Automation Hubei430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China
This article studies the consensus problem for multiagent systems with transmission constraints. A novel model of multiagent systems is proposed where the information transmissions between agents are disturbed by irre... 详细信息
来源: 评论
controllability of neighborhood Corona product networks
收藏 引用
Science China(Information Sciences) 2024年 第12期67卷 327-328页
作者: Bo LIU Xuan LI Qiang ZHANG Junjie HUANG Housheng SU Ministry of Education Key Laboratory for Intelligent Analysis and Security Governance of Ethnic Languages School of Information Engineering Minzu University of China School of Mathematical Sciences Inner Mongolia University Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology
controlling networks aims to study the models, structures,and related dynamics of complex networks. The primary problem of controlling networks is to determine whether they are controllable. Nowadays, controllability ...
来源: 评论
Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
Knowledge-Data Fusion Based Source-Free Semi-Supervised Doma...
收藏 引用
2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Peng, Ruimin An, Jiayu Wu, Dongrui School of Artificial Intelligence and Automation Huazhong University of Science and Technology Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control Wuhan430074 China
Electroencephalogram (EEG)-based seizure sub-type classification enhances clinical diagnosis efficiency. Source-free semi-supervised domain adaptation (SF-SSDA), which transfers a pre-trained model to a new dataset wi... 详细信息
来源: 评论
Bagging and Boosting Fine-Tuning for Ensemble Learning
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2024年 第4期5卷 1728-1742页
作者: Zhao, Changming Peng, Ruimin Wu, Dongrui Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074 China and alsowith the ShenzhenHuazhong University of Science and Technology Research Institute Shenzhen 518029 China
Ensemble learning aggregates outputs from multiple base learners for better performance. Bootstrap aggregating (bagging) and boosting are two popular such approaches. They are suitable for integrating unstable base le... 详细信息
来源: 评论
Semisupervised Transfer Boosting (SS-TrBoosting)
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2024年 第7期5卷 3431-3444页
作者: Deng, Lingfei Zhao, Changming Du, Zhenbang Xia, Kun Wu, Dongrui Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China and also with Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518063 China
Semisupervised domain adaptation (SSDA) aims at training a high-performance model for a target domain using few labeled target data, many unlabeled target data, and plenty of auxiliary data from a source domain. Previ... 详细信息
来源: 评论
Prescribed-Time Stabilization of Singularly Perturbed Systems
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2023年 第2期10卷 569-571页
作者: Yan Lei Yan-Wu Wang Xiao-Kang Liu Wu Yang the School of Artificial Intelligence and Automation Huazhong University of Science and Technology(HUST)Wuhan 430074 Key Laboratory of Image Processing and Intelligent Control Ministry of EducationWuhan 430074China the School of Electrical Engineering Guangxi UniversityNanning 530004China
Dear Editor, This letter investigates the prescribed-time stabilization of linear singularly perturbed systems. Due to the numerical issues caused by the small perturbation parameter, the off-the-shelf control design ... 详细信息
来源: 评论
Portrait Matting via Semantic and Detail Guidance  1
收藏 引用
7th Asian Conference on Pattern Recognition, ACPR 2023
作者: Wang, Deming Gao, Changxin Sang, Nong Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Portrait matting is a challenging computer vision task that aims to estimate the per-pixel opacity of the foreground human regions. To produce high-quality alpha mattes, the majority of available methods employ a user... 详细信息
来源: 评论
Cross-user Gesture Recognition Based on Deep Domain Adaptation Networks  43
Cross-user Gesture Recognition Based on Deep Domain Adaptati...
收藏 引用
43rd Chinese control Conference, CCC 2024
作者: Fu, Zhongzheng He, Xinrun Wang, Haoyuan Chen, Xingjian Li, Yixuan Huang, Jian Huazhong University of Science and Technology Ministry of Education Key Laboratory of Image Processing and Intelligent Control Hubei Key Laboratory of Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Wuhan430074 China
This study introduces an innovative approach for gesture recognition in smart wearable devices using a deep domain adaptation model, focusing on the challenges posed by heterogeneous user environments and the need for... 详细信息
来源: 评论