咨询与建议

限定检索结果

文献类型

  • 222 篇 会议
  • 104 篇 期刊文献

馆藏范围

  • 326 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 183 篇 工学
    • 81 篇 计算机科学与技术...
    • 80 篇 软件工程
    • 66 篇 控制科学与工程
    • 33 篇 电气工程
    • 30 篇 生物医学工程(可授...
    • 30 篇 生物工程
    • 29 篇 机械工程
    • 27 篇 信息与通信工程
    • 24 篇 光学工程
    • 23 篇 电子科学与技术(可...
    • 15 篇 仪器科学与技术
    • 8 篇 动力工程及工程热...
    • 7 篇 力学(可授工学、理...
    • 7 篇 化学工程与技术
    • 6 篇 船舶与海洋工程
    • 5 篇 交通运输工程
  • 106 篇 理学
    • 42 篇 数学
    • 39 篇 物理学
    • 33 篇 生物学
    • 24 篇 系统科学
    • 14 篇 统计学(可授理学、...
    • 8 篇 化学
  • 35 篇 管理学
    • 25 篇 管理科学与工程(可...
    • 10 篇 图书情报与档案管...
    • 6 篇 工商管理
  • 24 篇 医学
    • 21 篇 基础医学(可授医学...
    • 21 篇 临床医学
    • 13 篇 药学(可授医学、理...
    • 5 篇 中西医结合
    • 5 篇 医学技术(可授医学...
  • 3 篇 农学
  • 2 篇 经济学
  • 2 篇 法学
  • 2 篇 军事学
  • 2 篇 艺术学
  • 1 篇 教育学

主题

  • 21 篇 process control
  • 18 篇 control systems
  • 14 篇 feature extracti...
  • 13 篇 intelligent cont...
  • 12 篇 magnetic resonan...
  • 11 篇 image segmentati...
  • 10 篇 mathematical mod...
  • 8 篇 intelligent robo...
  • 8 篇 humans
  • 8 篇 biomedical imagi...
  • 7 篇 educational inst...
  • 7 篇 brain
  • 7 篇 epilepsy
  • 7 篇 tumors
  • 7 篇 shape
  • 7 篇 training
  • 6 篇 diffusion tensor...
  • 6 篇 electroencephalo...
  • 6 篇 magnetic resonan...
  • 6 篇 algorithm design...

机构

  • 35 篇 hubei key labora...
  • 35 篇 school of automa...
  • 31 篇 engineering rese...
  • 28 篇 control and inte...
  • 10 篇 autonomous syste...
  • 8 篇 image analysis l...
  • 6 篇 control & intell...
  • 6 篇 university of ch...
  • 6 篇 beijing advanced...
  • 6 篇 control and inte...
  • 6 篇 control and inte...
  • 6 篇 control and inte...
  • 5 篇 image analysis l...
  • 5 篇 radiology image ...
  • 5 篇 department of au...
  • 5 篇 department of au...
  • 5 篇 control and inte...
  • 5 篇 shaanxi key labo...
  • 5 篇 school of electr...
  • 5 篇 engineering rese...

作者

  • 27 篇 hamid soltanian-...
  • 16 篇 soltanian-zadeh ...
  • 12 篇 h. soltanian-zad...
  • 11 篇 hai-tao zhang
  • 11 篇 jingcheng wang
  • 11 篇 wang hesheng
  • 9 篇 majid nili ahmad...
  • 8 篇 wang guangming
  • 8 篇 zhang hai-tao
  • 7 篇 weihua cao
  • 6 篇 yifeng tang
  • 6 篇 chao gan
  • 6 篇 hadi moradi
  • 6 篇 huang jian
  • 6 篇 caro lucas
  • 6 篇 miao yanzi
  • 5 篇 babak n. araabi
  • 5 篇 yazdanpanah moha...
  • 5 篇 chuanshang luo
  • 5 篇 c. lucas

语言

  • 310 篇 英文
  • 9 篇 其他
  • 8 篇 中文
检索条件"机构=Advanced Control Systems Laboratory Control and Intelligent Processing Center of Excellence"
326 条 记 录,以下是61-70 订阅
Template Matching and Trend Feature Analysis-Based Data Pre-processing Method for Seismic Wave Detection
Template Matching and Trend Feature Analysis-Based Data Pre-...
收藏 引用
Chinese Automation Congress (CAC)
作者: Zheng Xu Chao Gan Weihua Cao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China
In this paper, a template matching and trend feature analysis-based data pre-processing method for seismic wave detection is proposed with two stages. In the first stage, it involves extracting the rock physical param...
来源: 评论
Recurrent Attentional Reinforcement Learning for Fault Diagnosis of Hydraulic System
Recurrent Attentional Reinforcement Learning for Fault Diagn...
收藏 引用
International Conference on control, Decision and Information Technologies (CoDIT)
作者: Zhenhui Tang Ru Liu Kang Lou Chaojian Gao Jingcheng Wang SJTU Sanya Yazhou Bay Institute of Deepsea Science and Technology Sanya China Department of Automation Shanghai Jiao Tong University Shanghai China Shanghai Marine Equipment Research Institute Shanghai China Department of Automation the Key Laboratory of System Control and Information Processing Ministry of Education of China and the Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University Xi'an China
Recognizing fault types of machinery system is a fundamental but challenging task in industrial application. Although data-driven fault diagnosis method attains remarkable progress by learning fault features automatic... 详细信息
来源: 评论
CPO-VMD Method for Denoising sEMG Signals
CPO-VMD Method for Denoising sEMG Signals
收藏 引用
Pervasive and intelligent Computing (PICom), IEEE Conference on
作者: Jingwen Liu Juan Zhao Seiichi Kawata Feng Wang Jinhua She School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan
In the field of biomedical engineering, surface electromyography (sEMG) is a key tool for monitoring muscle activity and is widely used in various fields such as human- computer interfaces, muscle fatigue assessment, ... 详细信息
来源: 评论
Semi-supervised Anomaly Detection and Location Based on Generative Adversarial Network  6
Semi-supervised Anomaly Detection and Location Based on Gene...
收藏 引用
6th International Conference on Signal and Image processing, ICSIP 2021
作者: Liu, Wei Gao, Mingqiang Duan, Shuaidong Wei, Longsheng China University of Geosciences School of Automation Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation For Complex Systems Wuhan China Engineering Research Center of Intelligent Technology For Geo-Exploration Ministry of Education Wuhan China
With the development of artificial intelligence, the anomaly detection plays more and more important role in security monitoring field. Because it is difficult to label abnormal data, most of the supervised methods co... 详细信息
来源: 评论
Deep transfer learning-based decoder calibration for intracortical brain-machine interfaces
收藏 引用
Computers in Biology and Medicine 2025年 第Pt A期192卷 110231-110231页
作者: Li, Xiao Dong, Xianxin Wang, Jun Mao, Haodong Tu, Xikai Li, Wei He, Jiping Li, Qiang Zhang, Peng Hubei Key Laboratory of Modern Manufacturing Quantity Engineering School of Mechanical Engineering Hubei University of Technology Wuhan430068 China Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Hubei Wuhan China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Science and Technology Hubei Wuhan China The Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan China Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China
Intracortical brain-machine interfaces (iBMIs) aim to establish a communication path between the brain and external devices. However, in the daily use of iBMIs, the non-stationarity of recorded neural signals necessit... 详细信息
来源: 评论
Adaptive Estimation for Environmental Monitoring Using an Autonomous Underwater Vehicle
Adaptive Estimation for Environmental Monitoring Using an Au...
收藏 引用
IEEE Conference on Decision and control
作者: Ziwen Yang Joana Fonseca Shanying Zhu Cailian Chen Xinping Guan Karl H. Johansson Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Digital Futures
This paper considers the problem of monitoring and adaptively estimating an environmental field, such as temperature or salinity, using an autonomous underwater vehicle (AUV). The AUV moves in the field and persistent...
来源: 评论
From photon momentum transfer to acceleration sensing
arXiv
收藏 引用
arXiv 2024年
作者: Yang, Jianyu Li, Nan Pan, Yuyao Yang, Jing Chen, Zhiming Cai, Han Wang, Yuliang Han, Chuankun Chen, Xingfan Liu, Cheng Hu, Huizhu State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and Engineering Zhejiang University Hangzhou310027 China Research Center for Advanced Computational Sensing and Intelligent Processing Zhejiang Lab Hangzhou310000 China Beijing Aerospace Control Instrument Research Institute Beijing100854 China
As a typical application of photon momentum transfer, optical levitation systems are known for their ideal isolation from mechanical dissipation and thermal noise. These characters offer extraordinary potential for ac... 详细信息
来源: 评论
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion
arXiv
收藏 引用
arXiv 2022年
作者: Jiang, Chaokang Wang, Guangming Miao, Yanzi Wang, Hesheng Engineering Research Center of Intelligent Control for Underground Space Ministry of Education School of Information and Control Engineering Advanced Robotics Research Center China University of Mining and Technology Xuzhou221116 China Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China
3D scene flow characterizes how the points at the current time flow to the next time in the 3D Euclidean space, which possesses the capacity to infer autonomously the non-rigid motion of all objects in the scene. The ... 详细信息
来源: 评论
Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance
arXiv
收藏 引用
arXiv 2022年
作者: Wang, Guangming Feng, Zhiheng Jiang, Chaokang Wang, Hesheng Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China Engineering Research Center of Intelligent Control for Underground Space Ministry of Education School of Information and Control Engineering Advanced Robotics Research Center China University of Mining and Technology Xuzhou221116 China
Scene flow represents the 3D motion of each point in the scene, which explicitly describes the distance and the direction of each point’s movement. Scene flow estimation is used in various applications such as autono... 详细信息
来源: 评论
Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage
收藏 引用
Plant Phenomics 2023年 第2期5卷 226-238页
作者: Yinglun Li Xiaohai Zhan Shouyang Liu Hao Lu Ruibo Jiang Wei Guo Scott Chapman Yufeng Ge Benoit de Solan Yanfeng Ding Frédéric Baret Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural UniversityNanjingChina Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhanChina Graduate School of Agricultural and Life Sciences The University of Tokyo1-1-1 Midori-choNishitokyo CityTokyoJapan School of Agriculture and Food Sciences The University of QueenslandSt.LuciaQueensland 4072Australia Department of Biological Systems Engineering University of Nebraska-LincolnLincolnNebraska 68583United States INRAE Avignon UniversitéUMR EMMAHUMT CAPTE228route de l’aérodrome-CS 4050984914 Avignon Cedex 9France ARVALIS Institut du Végétal 3 Rue Joseph et Marie Hackin75116 ParisFrance
The number of leaves at a given time is important to characterize plant growth and *** this work,we developed a high-throughput method to count the number of leaves by detecting leaf tips in RGB *** digital plant phen... 详细信息
来源: 评论