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421-430 订阅
排序:
Development of an MEMS based biomimetic whisker sensor for tactile sensing
Development of an MEMS based biomimetic whisker sensor for t...
收藏 引用
IEEE International Conference on Cyborg and Bionic Systems (CBS)
作者: Zihou Wei Qing Shi Chang Li Shurui Yan Guanglu Jia Zhigang Zeng Qiang Huang Toshio Fukuda Key Laboratory of Biomimetic Robots and Systems Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Ministry of Education Beijing China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control the School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
It has been demonstrated that biological whisker sensing system has excellent capacity to achieve the pattern recognition, and whisker sensor based robot tactile perception has caused widespread concern. However, most...
来源: 评论
Predefined-time terminal sliding mode control of robot manipulators
arXiv
收藏 引用
arXiv 2020年
作者: Liang, Chang-Duo Ge, Ming-Feng Liu, Zhi-Wei Wang, Yan-Wu Karimi, Hamid Reza School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Huazhong University of Science and Technology Wuhan430074 China Department of Mechanical Engineering Politecnico di Milano Milan20156 Italy
In this paper, we present a new terminal sliding mode control to achieve predefined-time stability of robot manipulators. The proposed control is developed based on a novel predefined-time terminal sliding mode (PTSM)... 详细信息
来源: 评论
Finite-size scaling of geometric renormalization flows in complex networks
arXiv
收藏 引用
arXiv 2020年
作者: Chen, Dan Su, Housheng Wang, Xiaofan Pan, Gui-Jun Chen, Guanrong School of Artificial Intelligence and Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China Department of Automation Shanghai University Shanghai200072 China Faculty of Physics and Electronic Science Hubei University Wuhan430062 China Department of Electrical Engineering City University of Hong Kong Hong Kong Hong Kong
Recently, the concept of geometric renormalization group provides a good approach for studying the structural symmetry and functional invariance of complex networks. Along this line, we systematically investigate the ... 详细信息
来源: 评论
Modeling and simulation of temperature distribution for planar cross-flow solid oxide fuel cell
收藏 引用
Energy Procedia 2019年 158卷 1585-1590页
作者: Yuan-wu Xu Xiao-long Wu Hang You Tao Xue Dong-qi Zhao Jian-hua Jiang Zhong-hua Deng Xiao-wei Fu Li Xi School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan 430065 China Research Institute of Huazhong University of Science & Technology in Shenzhen Shenzhen 518057 China
Solid oxide fuel cell is a device that can convert chemical energy directly into electricity. Its advantages, such as high efficiency, low emission, quiet operation, fuel flexibility, bring about the broad application... 详细信息
来源: 评论
Standby and Shutdown Cycles Modeling of SOFC Lifetime Prediction
收藏 引用
Energy Procedia 2019年 158卷 1573-1578页
作者: Wu Xiao-long Xu Yuanwu Xue Tao Zhao Dongqi Jiang Jianhua Deng Zhonghua Fu Xiaowei Li Xi School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan 430065 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518057 China
In order to more accurately predict the impact of solid oxide fuel cells to stack life on standby and shutdown, this paper proposes a modeling method based on experimental data. Which is based on Elman neural network(... 详细信息
来源: 评论
Unsupervised Local Discrimination for Medical images
arXiv
收藏 引用
arXiv 2021年
作者: Chen, Huai Wang, Renzhen Wang, Xiuying Li, Jieyu Fang, Qu Li, Hui Bai, Jianhao Peng, Qing Meng, Deyu Wang, Lisheng Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai200240 China School of Mathematics and Statistics Ministry of Education Key Lab of Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an710049 China The School of Computer Science The University of Sydney SydneyNSW2006 Australia Department of Ophthalmology Shanghai Tenth People’s Hospital Tongji University Shanghai200240 China The Cooperative Medianet Innovation Center Shanghai Jiao Tong University Shanghai200240 China The Changchun GeneScience Pharmaceutical Co. LTD China
Contrastive learning, which aims to capture general representation from unlabeled images to initialize the medical analysis models, has been proven effective in alleviating the high demand for expensive annotations. C... 详细信息
来源: 评论
A protocol for structured illumination microscopy with minimal reconstruction artifacts
收藏 引用
生物物理学报 2019年 第2期5卷 80-90页
作者: Junchao Fan Xiaoshuai Huang Liuju Li Shan Tan Liangyi Chen Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China School of Automation Huazhong University of Science and Technology Wuhan 430074 China State Key Laboratory of Membrane Biology Beijing Key Laboratory of Cardiometabolic Molecular MedicineInstitute of Molecular Medicine Peking University Beijing 100084 China
The imaging rate of structured illumination microscopy (SIM) reached 188 Hz *** the exposure time decreases,the camera detects fewer virtual photons,while the noise level remains the *** a result,the signal-to-noise r... 详细信息
来源: 评论
Learning data-adaptive non-parametric kernels
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2020年 第1期21卷 8590-8628页
作者: Fanghui Liu Xiaolin Huang Chen Gong Jie Yang Li Li Department of Electrical Engineering ESAT-STADIUS KU Leuven Belgium Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China PCA Lab Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology China and Department of Computing Hong Kong Polytechnic University Hong Kong SAR China Department of Automation BNRist Tsinghua University China
In this paper, we propose a data-adaptive non-parametric kernel learning framework in margin based kernel methods. In model formulation, given an initial kernel matrix, a data-adaptive matrix with two constraints is i... 详细信息
来源: 评论
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs
arXiv
收藏 引用
arXiv 2019年
作者: Liu, Zihan Meng, Lubin Zhang, Xiao Fang, Weili 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 School of Design and Environment National University of Singapore 117566 Singapore Zhejiang Lab Hangzhou311121 China
Multiple convolutional neural network (CNN) classifiers have been proposed for electroencephalogram (EEG) based brain-computer interfaces (BCIs). However, CNN models have been found vulnerable to universal adversarial... 详细信息
来源: 评论
Multi-task deep learning with dynamic programming for embryo early development stage classification from time-lapse videos
arXiv
收藏 引用
arXiv 2019年
作者: Liu, Zihan Huang, Bo Cui, Yuqi Xu, Yifan Zhang, Bo Zhu, Lixia Wang, Yang Jin, Lei Wu, Dongrui Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Reproductive Medicine Center Huazhong University of Science and Technology Tongji Hospital Wuhan430074 China
Time-lapse is a technology used to record the development of embryos during in-vitro fertilization (IVF). Accurate classification of embryo early development stages can provide embryologists valuable information for a... 详细信息
来源: 评论