咨询与建议

限定检索结果

文献类型

  • 1,785 篇 会议
  • 1,131 篇 期刊文献

馆藏范围

  • 2,916 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,859 篇 工学
    • 1,039 篇 计算机科学与技术...
    • 895 篇 软件工程
    • 479 篇 控制科学与工程
    • 363 篇 信息与通信工程
    • 276 篇 电气工程
    • 265 篇 生物工程
    • 227 篇 机械工程
    • 223 篇 光学工程
    • 216 篇 电子科学与技术(可...
    • 189 篇 生物医学工程(可授...
    • 114 篇 化学工程与技术
    • 107 篇 仪器科学与技术
    • 78 篇 动力工程及工程热...
    • 76 篇 交通运输工程
    • 68 篇 材料科学与工程(可...
    • 52 篇 土木工程
    • 50 篇 力学(可授工学、理...
    • 44 篇 建筑学
  • 1,142 篇 理学
    • 629 篇 数学
    • 314 篇 物理学
    • 293 篇 生物学
    • 179 篇 系统科学
    • 165 篇 统计学(可授理学、...
    • 108 篇 化学
  • 386 篇 管理学
    • 259 篇 管理科学与工程(可...
    • 140 篇 图书情报与档案管...
    • 79 篇 工商管理
  • 116 篇 医学
    • 97 篇 临床医学
    • 71 篇 基础医学(可授医学...
    • 54 篇 药学(可授医学、理...
  • 35 篇 法学
  • 30 篇 农学
  • 28 篇 经济学
  • 13 篇 教育学
  • 10 篇 军事学
  • 8 篇 文学
  • 3 篇 艺术学
  • 1 篇 哲学

主题

  • 101 篇 feature extracti...
  • 76 篇 training
  • 73 篇 image segmentati...
  • 53 篇 image reconstruc...
  • 51 篇 object detection
  • 50 篇 computational mo...
  • 48 篇 semantics
  • 44 篇 deep learning
  • 42 篇 visualization
  • 41 篇 cameras
  • 41 篇 accuracy
  • 39 篇 optimization
  • 37 篇 image processing
  • 37 篇 machine learning
  • 37 篇 robustness
  • 34 篇 neural networks
  • 29 篇 support vector m...
  • 29 篇 image edge detec...
  • 29 篇 predictive model...
  • 29 篇 real-time system...

机构

  • 152 篇 key laboratory o...
  • 144 篇 department of au...
  • 115 篇 shanghai enginee...
  • 82 篇 school of artifi...
  • 65 篇 school of automa...
  • 64 篇 hubei key labora...
  • 58 篇 school of automa...
  • 58 篇 engineering rese...
  • 55 篇 key laboratory o...
  • 52 篇 key laboratory o...
  • 48 篇 key laboratory o...
  • 46 篇 key laboratory o...
  • 40 篇 key laboratory o...
  • 38 篇 key laboratory o...
  • 36 篇 key laboratory o...
  • 35 篇 shenzhen huazhon...
  • 35 篇 key laboratory o...
  • 27 篇 key laboratory o...
  • 25 篇 department of co...
  • 24 篇 department of au...

作者

  • 65 篇 wu dongrui
  • 57 篇 sang nong
  • 50 篇 zeng zhigang
  • 48 篇 jiao licheng
  • 48 篇 gao changxin
  • 43 篇 licheng jiao
  • 43 篇 zhigang zeng
  • 41 篇 wang hesheng
  • 38 篇 ding mingyue
  • 38 篇 jian huang
  • 37 篇 chen cailian
  • 36 篇 pan linqiang
  • 36 篇 huang jian
  • 35 篇 guan xinping
  • 34 篇 mingyue ding
  • 33 篇 hesheng wang
  • 33 篇 cao zhiguo
  • 32 篇 yongji wang
  • 28 篇 wang yongji
  • 27 篇 su housheng

语言

  • 2,767 篇 英文
  • 80 篇 中文
  • 73 篇 其他
  • 3 篇 德文
  • 3 篇 法文
  • 1 篇 日文
检索条件"机构=Image Processing and Intelligent Control Key Laboratory of Education Ministry of China"
2916 条 记 录,以下是1-10 订阅
排序:
A Novel Optimal Distributed Nonlinear Filter for Simultaneous State and Unknown Input Estimation in Multi-Sensor Networks
收藏 引用
IEEE Signal processing Letters 2025年 32卷 1745-1749页
作者: Ding, Bo Wei, Yuanchu Zhang, Enze Fang, Huajing Yangzhou University College of Information Engineering Yangzhou225127 China Huazhong University of Science and Technology School of Automation Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan430074 China
This letter investigates the problem of simultaneous state and unknown input estimation in a nonlinear system within multi-sensor networks. To avoid the linearization errors caused by existing methods, such as statist... 详细信息
来源: 评论
Finite-Time Consensus of Second-Order Multiagent Systems With Input Saturation via Hybrid Sliding-Mode control
收藏 引用
IEEE Transactions on Automation Science and Engineering 2025年 22卷 14623-14632页
作者: Jiang, Xiaowei Jiao, Ranran Li, Bo Zhang, Xianhe Yan, Huaicheng China University of Geosciences School of Automation Wuhan430079 China Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Geodetection Technology Wuhan430074 China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai200240 China Anhui University of Finance and Economics School of Finance Bengbu233030 China Hubei Normal University School of Electrical Engineering and Automation Huangshi435002 China Ministry of Education East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China
This paper addresses the finite-time consensus (FTC) issue for second-order multi-agent systems (MASs) with nonlinear disturbances. To tackle the challenges posed by increasingly complex communication environments, an... 详细信息
来源: 评论
Curve-Suppression-Based Event-Triggered Mechanisms for Quasi-Synchronization of Fuzzy Delayed Neural Networks on Time Scales
收藏 引用
IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年 第5期55卷 3174-3187页
作者: Wan, Peng Zhou, Yufeng Zeng, Zhigang Lai, Jingang Wuhan University of Science and Technology School of Artificial Intelligence and Automation Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent control of Education Ministry of China Wuhan430074 China
The vast majority of published event-triggered mechanisms (ETMs) are constructed based on measurement errors, which introduces a problem naturally that they are updated when the measurement errors exceed the threshold... 详细信息
来源: 评论
Concentric Circles Nested Array Design Method for Acoustic Imaging Based on Differential Co-Array Model
收藏 引用
IEEE Sensors Journal 2025年 第10期25卷 18106-18114页
作者: Xie, Zhiyuan Yang, Yan Zhang, Junyan Zhu, Wenzhao Bai, Zonglong North China Electric Power University Department of Electrical and Communication Engineering Baoding071003 China Hebei Provincial Key Laboratory of Power Internet of Things Baoding071003 China Yanshan University Key Laboratory of Intelligent Control and Neural Information Processing Education Ministry of China Qinhuangdao066004 China
Acoustic imaging intuitively illustrates the locations of sound sources and has a wide range of applications, including fault detection. However, this technology requires a substantial number of microphones, which inc... 详细信息
来源: 评论
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning
收藏 引用
IEEE Transactions on Knowledge and Data Engineering 2025年 第6期37卷 3240-3252页
作者: Li, Depeng Zeng, Zhigang Dai, Wei Suganthan, Ponnuthurai Nagaratnam Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Qatar University Kindi Center for Computing Research College of Engineering Doha2713 Qatar
In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new classes over time. To mitigate the catast... 详细信息
来源: 评论
Enhancing Network Abnormal Detection With NMF-SECNN: Leveraging Deep Feature Learning for High-Precision Traffic Analysis
收藏 引用
IEEE Transactions on Network Science and Engineering 2025年 第3期12卷 2069-2080页
作者: Yuan, Yazhou Yu, Ning Zheng, Zhuolin Yang, Yong Ma, Kai Liu, Zhixin Chen, Cailian Zhang, Jianmin Yanshan University Institute of Electrical Engineering Qinhuangdao066004 China Yanshan University Key Laboratory of Intelligent Control and Neural Information Processing of the Ministry of Education of China Qinhuangdao066004 China State Grid Handan Electric Power Supply Company Hebei 056000 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Baosteel Research Institute Automation Department Shanghai200240 China
Detection of abnormalities in industrial network traffic plays a crucial role in maintaining network system security. However, current abnormal detection models suffer from low precision, and extracting deep-level fea... 详细信息
来源: 评论
Formation control and path planning of multi-robot systems via large language models
收藏 引用
Science china(Information Sciences) 2025年 第5期68卷 72-88页
作者: Dong XUE Xuanjie ZHOU Ming WANG Fangzhou LIU Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and Technology Research Institute of Intelligent Control and Systems School of Astronautics Harbin Institute of Technology
Existing path planning and coordination control methods for multi-robot systems(MRS) typically rely on predefined rules and rudimentary algorithms. However, these methods often struggle to adapt flexibly to complex en... 详细信息
来源: 评论
DFIMat: Decoupled Flexible Interactive Matting in Multi-person Scenarios  17th
DFIMat: Decoupled Flexible Interactive Matting in Multi-per...
收藏 引用
17th Asian Conference on Computer Vision, ACCV 2024
作者: Jiao, Siyi Zeng, Wenzheng 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
Interactive portrait matting refers to extracting the soft portrait from a given image that best meets the user’s intent through their inputs. Existing methods often underperform in complex scenarios, mainly due to t... 详细信息
来源: 评论
Extended State Observer-based Hybrid Dynamic Event-Triggered Consensus control with External Disturbances  24
Extended State Observer-based Hybrid Dynamic Event-Triggered...
收藏 引用
2nd International Conference on Frontiers of intelligent Manufacturing and Automation, CFIMA 2024
作者: Pei, Wenliang Hua, Changchun Cui, Hailong Zhao, Guanglei Ma, Zhuang The Institute of Electrical Engineering The Key Lab of Intelligent Rehabilitation and Neuroregulation in Hebei Province Key Laboratory of Intelligent Control and Neural Information Processing Ministry of Education Yanshan University Hebei China Tangshan University Hebei China
This paper solves the event-triggered robust consensus problem of disturbed multi-agent systems (MASs) in fully distributed fashion. First, a distributed extended state observer (DESO) is developed for appropriately e... 详细信息
来源: 评论
Attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control  3rd
Attitude Stabilization Control for Unmanned Aerial Vehicle w...
收藏 引用
3rd International Conference on Machine Learning, Cloud Computing and intelligent Mining, MLCCIM 2024
作者: Mo, Fan Gu, Chaochen Wang, Kunkun Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China
To address the periodic disturbances introduced by the manipulator mounted on the drone, as well as the overall system parameter variations caused by the robotic arm carried by the Unmanned Aerial Vehicle (UAV), the f... 详细信息
来源: 评论