咨询与建议

限定检索结果

文献类型

  • 500 篇 会议
  • 387 篇 期刊文献

馆藏范围

  • 887 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 603 篇 工学
    • 330 篇 计算机科学与技术...
    • 278 篇 软件工程
    • 178 篇 控制科学与工程
    • 100 篇 电气工程
    • 85 篇 生物医学工程(可授...
    • 78 篇 生物工程
    • 71 篇 机械工程
    • 69 篇 电子科学与技术(可...
    • 68 篇 信息与通信工程
    • 51 篇 光学工程
    • 30 篇 化学工程与技术
    • 29 篇 仪器科学与技术
    • 22 篇 力学(可授工学、理...
    • 22 篇 航空宇航科学与技...
    • 21 篇 交通运输工程
    • 19 篇 动力工程及工程热...
    • 13 篇 土木工程
    • 11 篇 建筑学
  • 366 篇 理学
    • 223 篇 数学
    • 81 篇 生物学
    • 79 篇 系统科学
    • 74 篇 物理学
    • 55 篇 统计学(可授理学、...
    • 28 篇 化学
  • 137 篇 管理学
    • 100 篇 管理科学与工程(可...
    • 37 篇 图书情报与档案管...
    • 28 篇 工商管理
  • 53 篇 医学
    • 48 篇 临床医学
    • 34 篇 基础医学(可授医学...
    • 33 篇 药学(可授医学、理...
  • 10 篇 经济学
  • 10 篇 农学
  • 7 篇 法学
  • 4 篇 文学
  • 4 篇 军事学
  • 3 篇 教育学
  • 1 篇 艺术学

主题

  • 24 篇 feature extracti...
  • 20 篇 training
  • 18 篇 multi-agent syst...
  • 17 篇 electroencephalo...
  • 14 篇 machine learning
  • 12 篇 neural networks
  • 12 篇 memristors
  • 12 篇 multi agent syst...
  • 11 篇 optimization
  • 11 篇 computational mo...
  • 11 篇 mathematical mod...
  • 9 篇 ultrasonic imagi...
  • 9 篇 neurons
  • 9 篇 deep learning
  • 9 篇 image segmentati...
  • 9 篇 biomedical imagi...
  • 9 篇 emotion recognit...
  • 9 篇 forecasting
  • 9 篇 robustness
  • 8 篇 support vector m...

机构

  • 76 篇 school of artifi...
  • 55 篇 school of automa...
  • 40 篇 key laboratory o...
  • 40 篇 key laboratory o...
  • 35 篇 key laboratory o...
  • 31 篇 shenzhen huazhon...
  • 27 篇 key laboratory o...
  • 23 篇 key laboratory o...
  • 20 篇 ministry of educ...
  • 19 篇 key laboratory o...
  • 18 篇 department of co...
  • 12 篇 school of artifi...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 11 篇 key laboratory o...
  • 11 篇 key laboratory o...
  • 11 篇 the school of ar...
  • 11 篇 department of co...
  • 11 篇 huazhong univers...
  • 10 篇 key laboratory o...

作者

  • 62 篇 wu dongrui
  • 47 篇 zeng zhigang
  • 44 篇 zhigang zeng
  • 32 篇 cao zhiguo
  • 25 篇 housheng su
  • 22 篇 xi li
  • 22 篇 sang nong
  • 22 篇 su housheng
  • 20 篇 ding mingyue
  • 20 篇 yongji wang
  • 19 篇 jian huang
  • 19 篇 wang yongji
  • 18 篇 li wei
  • 17 篇 wang xiaoping
  • 17 篇 huang jian
  • 16 篇 li xi
  • 16 篇 liu lei
  • 16 篇 peng gang
  • 16 篇 gao changxin
  • 16 篇 mingyue ding

语言

  • 841 篇 英文
  • 28 篇 其他
  • 18 篇 中文
检索条件"机构=Key Lab of Ministry of Education for Image Processing and Intelligent Control"
887 条 记 录,以下是351-360 订阅
排序:
Distributed second order sliding mode secondary frequency control for HVDC system
Distributed second order sliding mode secondary frequency co...
收藏 引用
Chinese Automation Congress (CAC)
作者: Yang-Ming Dou Ming Chi Zhi-Wei Liu Key Laboratory of Image Processing and Intelligent Control Ministry of Education College of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
This paper studies the secondary frequency control among non-synchronous AC areas interconnected by High Voltage Direct Current (HVDC). A distributed second order sliding mode control scheme is adopted to secondary fr... 详细信息
来源: 评论
A memristor-based generalization and differentiation circuit design and the application in recognition
A memristor-based generalization and differentiation circuit...
收藏 引用
第三十九届中国控制会议
作者: Meijia Shang Xiaoping Wang Mian Li the School of Artificial Intelligence and Automation Huazhong University of Science and Technology IEEE the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China
The traditional Pavlov associative memory circuit realizes the law of learning and forgetting in classical conditioned reflex. In addition, the law of generalization and differentiation also belongs to classical condi... 详细信息
来源: 评论
Empirical studies on the properties of linear regions in deep neural networks
arXiv
收藏 引用
arXiv 2020年
作者: Zhang, Xiao 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 Wuhan China
A deep neural network (DNN) with piecewise linear activations can partition the input space into numerous small linear regions, where different linear functions are fitted. It is believed that the number of these regi... 详细信息
来源: 评论
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression
Integrating Informativeness, Representativeness and Diversit...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Ziang Liu Dongrui Wu Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
In many real-world machine learning applications, unlabeled samples are easy to obtain, but it is expensive and/or time-consuming to label them. Active learning is a common approach for reducing this data labeling eff... 详细信息
来源: 评论
Fault-Tolerant Consensus for Linear Singular Multi-Agent Systems with Dynamic Adaptive Event-Triggered Mechanism
SSRN
收藏 引用
SSRN 2022年
作者: Jiang, Ping Chen, Jiejie Zeng, Zhigang Chen, Boshan The School of Computer Hubei PolyTechnic University Huangshi435000 China The School of Automation Huazhong University of Science and Technology Wuhan430074 China The College of Computer Science and Technology Hubei Normal University Huangshi435002 China The College of Mathematics and Statistics Hubei Normal University Huangshi435002 China The Key Laboratory of Image Processing and Intelligent Control Education Ministry of China Wuhan430074 China
The fault-tolerant consensus of linear singular multi-agent systems (SMASs) is studied in this paper. Firstly, a general dynamic adaptive event-triggered mechanism (ETM) is proposed, and its special cases include the ... 详细信息
来源: 评论
Graph-based scale-aware network for human parsing  1
收藏 引用
2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019
作者: Yang, Beibei Yu, Changqian Liu, Jiahui Gao, Changxin Sang, Nong Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Recent work has made considerable progress in exploring contextual information for human parsing with the Fully Convolutional Network framework. However, there still exist two challenges: (1) inherent relative relatio... 详细信息
来源: 评论
Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification
收藏 引用
Nature communications 2025年 第1期16卷 5027页
作者: Tao Liu Jiahao Liu Dong Li Shan Tan Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China. State Key Laboratory of Membrane Biology Tsinghua-Peking Center for Life Sciences Beijing Frontier Research Center for Biological Structure IDG/McGovern Institute for Brain Research New Cornerstone Science Laboratory School of Life Sciences Tsinghua University Beijing 100084 China. li-dong@***. Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China. shantan@***.
The objective of optical super-resolution imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination microscopy (SIM) is acknowledged as the ...
来源: 评论
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models
arXiv
收藏 引用
arXiv 2020年
作者: 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 Technology Wuhan430074 China
To effectively train Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a Mini-Batch Gradient Descent with Regularization, DropRule, and AdaBound (MBGD-RDA) algorithm was recently proposed. It has demonst... 详细信息
来源: 评论
Single upper limb pose estimation method based on improved stacked hourglass network
arXiv
收藏 引用
arXiv 2020年
作者: Peng, Gang Zheng, Yuezhi Li, Jianfeng Yang, Jin Deng, Zhonghua Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China
At present, most high-accuracy single-person pose estimation methods have high computational complexity and insufficient real-time performance due to the complex structure of the network model. However, a single-perso... 详细信息
来源: 评论
Monocular visual–inertial SLAM algorithm combined with wheel speed anomaly detection
arXiv
收藏 引用
arXiv 2020年
作者: Gang, Peng Zezao, Lu Shanliang, Chen Bocheng, Chen Dingxin, He Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China
To address the weak observability of monocular visual–inertial odometers on ground-based mobile robots, this paper proposes a monocular inertial SLAM algorithm combined with wheel speed anomaly detection. The algorit... 详细信息
来源: 评论