咨询与建议

限定检索结果

文献类型

  • 779 篇 会议
  • 603 篇 期刊文献

馆藏范围

  • 1,382 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 912 篇 工学
    • 489 篇 计算机科学与技术...
    • 410 篇 软件工程
    • 260 篇 控制科学与工程
    • 139 篇 生物工程
    • 136 篇 电气工程
    • 121 篇 生物医学工程(可授...
    • 111 篇 机械工程
    • 111 篇 信息与通信工程
    • 99 篇 电子科学与技术(可...
    • 81 篇 光学工程
    • 48 篇 化学工程与技术
    • 46 篇 仪器科学与技术
    • 35 篇 力学(可授工学、理...
    • 35 篇 材料科学与工程(可...
    • 28 篇 航空宇航科学与技...
    • 24 篇 动力工程及工程热...
    • 20 篇 交通运输工程
    • 17 篇 土木工程
  • 564 篇 理学
    • 313 篇 数学
    • 157 篇 生物学
    • 137 篇 物理学
    • 111 篇 系统科学
    • 72 篇 统计学(可授理学、...
    • 42 篇 化学
  • 185 篇 管理学
    • 132 篇 管理科学与工程(可...
    • 55 篇 图书情报与档案管...
    • 33 篇 工商管理
  • 73 篇 医学
    • 67 篇 临床医学
    • 42 篇 基础医学(可授医学...
    • 39 篇 药学(可授医学、理...
  • 16 篇 经济学
  • 16 篇 法学
  • 13 篇 农学
  • 5 篇 文学
  • 4 篇 教育学
  • 4 篇 军事学
  • 3 篇 艺术学
  • 2 篇 哲学

主题

  • 35 篇 feature extracti...
  • 31 篇 training
  • 27 篇 image segmentati...
  • 27 篇 image processing
  • 25 篇 machine learning
  • 24 篇 computational mo...
  • 23 篇 neurons
  • 23 篇 multi-agent syst...
  • 20 篇 mathematical mod...
  • 19 篇 semantics
  • 18 篇 electroencephalo...
  • 18 篇 intelligent cont...
  • 17 篇 laboratories
  • 16 篇 object detection
  • 16 篇 neural networks
  • 16 篇 multi agent syst...
  • 15 篇 optimization
  • 15 篇 pattern recognit...
  • 15 篇 robustness
  • 13 篇 deep learning

机构

  • 77 篇 school of artifi...
  • 68 篇 key laboratory o...
  • 57 篇 school of automa...
  • 52 篇 key laboratory o...
  • 40 篇 key laboratory o...
  • 38 篇 key laboratory o...
  • 36 篇 key laboratory o...
  • 35 篇 shenzhen huazhon...
  • 27 篇 key laboratory o...
  • 26 篇 department of co...
  • 25 篇 alibaba group
  • 23 篇 key laboratory o...
  • 20 篇 ministry of educ...
  • 19 篇 key laboratory o...
  • 18 篇 key laboratory o...
  • 13 篇 huazhong univers...
  • 12 篇 school of artifi...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 11 篇 key laboratory o...

作者

  • 65 篇 wu dongrui
  • 61 篇 sang nong
  • 51 篇 gao changxin
  • 49 篇 zeng zhigang
  • 44 篇 zhigang zeng
  • 40 篇 jian huang
  • 37 篇 pan linqiang
  • 34 篇 huang jian
  • 33 篇 cao zhiguo
  • 32 篇 yongji wang
  • 30 篇 hai-tao zhang
  • 29 篇 wang yongji
  • 26 篇 housheng su
  • 25 篇 liu jian
  • 24 篇 ding mingyue
  • 24 篇 su housheng
  • 24 篇 wang xiang
  • 23 篇 zhang shiwei
  • 22 篇 xi li
  • 22 篇 jian liu

语言

  • 1,312 篇 英文
  • 35 篇 其他
  • 35 篇 中文
  • 1 篇 日文
检索条件"机构=State Key Laboratory of Image Processing and Intelligent Control"
1382 条 记 录,以下是21-30 订阅
排序:
Finite-time sliding-mode control for semi-Markov systems with delayed impulses
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2025年
作者: Ren, Fangmin Wang, Xiaoping Li, Yangmin Zeng, Zhigang The School of Artificial Intelligence and Automation The Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Hubei Key Laboratory of Braininspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China The Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong999077 Hong Kong
来源: 评论
Multimodal Brain-Computer Interfaces: AI-powered Decoding Methodologies
arXiv
收藏 引用
arXiv 2025年
作者: Li, Siyang Wang, Hongbin Chen, Xiaoqing Wu, Dongrui The Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology School of Electrical and Information Engineering Zhengzhou University China
Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. This review highlights the core decoding algorithms that enable multimodal BCIs, including a dissection of the eleme... 详细信息
来源: 评论
Generation Maintenance Scheduling for Power Systems Considering the Risk Quantification of Hybrid Uncertainty
收藏 引用
IEEE Transactions on Power Systems 2025年
作者: Yang, Xiao Zhao, Yong Li, Yuanzheng Huang, Cheng Ding, Qiang Key Laboratory of Image Information Processing and Intelligent Control of Ministry of Education of China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China Power Science Research Institute of State Grid Jiangsu Electric Power Company China China Electric Power Research Institute Company China
The accurate quantification of risk caused by uncertainty forms a crucial foundation for formulating the generation maintenance scheduling (GMS) of power systems. However, the probability distribution functions (PDFs)... 详细信息
来源: 评论
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
arXiv
收藏 引用
arXiv 2025年
作者: Liu, Dingkun Li, Siyang Wang, Ziwei Li, Wei Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518000 China
A non-invasive brain-computer interface (BCI) enables direct interaction between the user and external devices, typically via electroencephalogram (EEG) signals. However, decoding EEG signals across different headsets... 详细信息
来源: 评论
Multi-View Contrastive Network (MVCNet) for Motor imagery Classification
arXiv
收藏 引用
arXiv 2025年
作者: Wang, Ziwei Li, Siyang Chen, Xiaoqing Li, Wei Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518000 China
Objective: An electroencephalography (EEG)-based brain-computer interface (BCI) serves as a direct communication pathway between the human brain and an external device. While supervised learning has been extensively e... 详细信息
来源: 评论
An Integrated intelligent Autonomous Driving Bulldozer System: Pose Estimation, Object Detection, and Work Planning for Dumping Operations
收藏 引用
Journal of Field Robotics 2025年 第0期
作者: Peng, Gang Gao, Qiang Liu, Xingyu Zhou, Yicheng Duan, Hangqi Wu, ZhanGang Hu, Bin Zhu, Xukang Xu, Daosheng School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan China Engineering Research Center of Autonomous Intelligent Unmanned Systems Ministry of Education Wuhan China Shantui Construction Machinery Co. Ltd. Jining China
In recent years, the rapid advancement of automation control and intelligent sensing technologies has positioned autonomous driving as a focal point of interest for both academia and industry. As core equipment in mod... 详细信息
来源: 评论
Disturbance Estimation of Legged Robots: Predefined Convergence via Dynamic Gains
arXiv
收藏 引用
arXiv 2025年
作者: Li, Bolin Cai, Peiyuan Zuo, Gewei Zhu, Lijun Ding, Han School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430072 China Key Laboratory of Imaging Processing and Intelligence Control China State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology China
In this study, we address the challenge of disturbance estimation in legged robots by introducing a novel continuous-time online feedback-based disturbance observer that leverages measurable variables. The distinct fe... 详细信息
来源: 评论
A dynamic multi-objective optimization approach for integrated timetabling and vehicle scheduling
收藏 引用
Swarm and Evolutionary Computation 2025年 95卷
作者: Shen, Yindong Xie, Wenliang Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The MOE Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China
Dynamic integrated timetabling and vehicle scheduling (D-ITVS) is essential for mitigating the negative impacts of service disruptions arising from the stochastic nature of traffic flow and passenger demand fluctuatio... 详细信息
来源: 评论
MindEye-OmniAssist: A Gaze-Driven LLM-Enhanced Assistive Robot System for Implicit Intention Recognition and Task Execution
arXiv
收藏 引用
arXiv 2025年
作者: Zhang, Zejia Yang, Bo Chen, Xinxing Shi, Weizhuang Wang, Haoyuan Luo, Wei Huang, Jian Hubei Key Laboratory of Brain-Inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China State key laboratory of intelligent vehicle safety technology chongqing changan automobile co ltd Chongqing400023 China Science and technology innovation center China ship development and design centre Wuhan430060 China
A promising effective human-robot interaction in assistive robotic systems is gaze-based control. However, current gaze-based assistive systems mainly help users with basic grasping actions, offering limited support. ... 详细信息
来源: 评论
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
收藏 引用
IEEE Transactions on Cognitive Communications and Networking 2025年
作者: Tian, Zhuojun Zhang, Zhaoyang Li, Yiwei Bennis, Mehdi Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China University of Oulu Center for Wireless Communications Oulu90014 Finland State Key Laboratory of Industrial Control Technology Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multimodal Communication Networks and Intelligent Information Processing Hangzhou310027 China Xiamen University of Technology Fujian Key Laboratory of Communication Network and Information Processing Xiamen361024 China
To jointly tackle the challenges of data and node heterogeneity in decentralized learning, we propose a distributed strong lottery ticket hypothesis (DSLTH), based on which a communication-efficient personalized learn... 详细信息
来源: 评论