咨询与建议

限定检索结果

文献类型

  • 759 篇 会议
  • 347 篇 期刊文献

馆藏范围

  • 1,106 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 763 篇 工学
    • 329 篇 控制科学与工程
    • 310 篇 软件工程
    • 306 篇 计算机科学与技术...
    • 205 篇 机械工程
    • 104 篇 电气工程
    • 95 篇 仪器科学与技术
    • 64 篇 电子科学与技术(可...
    • 58 篇 信息与通信工程
    • 57 篇 交通运输工程
    • 35 篇 生物工程
    • 32 篇 航空宇航科学与技...
    • 26 篇 动力工程及工程热...
    • 24 篇 化学工程与技术
    • 20 篇 力学(可授工学、理...
    • 20 篇 生物医学工程(可授...
    • 18 篇 安全科学与工程
    • 16 篇 土木工程
    • 15 篇 光学工程
    • 11 篇 材料科学与工程(可...
  • 308 篇 理学
    • 195 篇 数学
    • 117 篇 系统科学
    • 54 篇 统计学(可授理学、...
    • 34 篇 物理学
    • 33 篇 生物学
    • 16 篇 化学
  • 181 篇 管理学
    • 168 篇 管理科学与工程(可...
    • 47 篇 工商管理
  • 21 篇 经济学
    • 21 篇 应用经济学
  • 21 篇 法学
    • 15 篇 社会学
  • 14 篇 医学
    • 12 篇 临床医学
  • 12 篇 艺术学
  • 11 篇 教育学
  • 6 篇 军事学
  • 5 篇 文学
  • 5 篇 农学
  • 1 篇 历史学

主题

  • 29 篇 mathematical mod...
  • 23 篇 training
  • 22 篇 vehicles
  • 21 篇 trajectory
  • 21 篇 feature extracti...
  • 19 篇 state estimation
  • 18 篇 computational mo...
  • 15 篇 roads
  • 15 篇 optimization
  • 15 篇 robot kinematics
  • 15 篇 adaptation model...
  • 14 篇 reinforcement le...
  • 14 篇 three-dimensiona...
  • 14 篇 automation
  • 14 篇 force
  • 14 篇 cameras
  • 14 篇 uncertainty
  • 14 篇 multi-agent syst...
  • 13 篇 deep learning
  • 13 篇 artificial intel...

机构

  • 192 篇 school of automa...
  • 78 篇 qingdao academy ...
  • 75 篇 key laboratory o...
  • 56 篇 state key labora...
  • 54 篇 key laboratory o...
  • 50 篇 state key labora...
  • 47 篇 school of artifi...
  • 46 篇 the state key la...
  • 44 篇 state key labora...
  • 43 篇 state key labora...
  • 40 篇 the state key la...
  • 37 篇 key laboratory o...
  • 36 篇 state key labora...
  • 35 篇 state key labora...
  • 33 篇 beijing engineer...
  • 27 篇 hubei key labora...
  • 25 篇 school of automa...
  • 24 篇 ieee
  • 22 篇 beijing institut...
  • 21 篇 beijing institut...

作者

  • 70 篇 fei-yue wang
  • 58 篇 gang xiong
  • 53 篇 chen jie
  • 50 篇 yuanqing xia
  • 47 篇 junzheng wang
  • 42 篇 jie chen
  • 42 篇 wang fei-yue
  • 38 篇 xiangdong liu
  • 34 篇 liping yan
  • 34 篇 mengyin fu
  • 33 篇 hongbin ma
  • 32 篇 xiong gang
  • 30 篇 sun jian
  • 26 篇 zhen shen
  • 25 篇 jian sun
  • 24 篇 xisong dong
  • 24 篇 wang gang
  • 23 篇 fenghua zhu
  • 22 篇 xiwei liu
  • 22 篇 zhen li

语言

  • 1,070 篇 英文
  • 23 篇 中文
  • 13 篇 其他
  • 1 篇 法文
检索条件"机构=the State Key Laboratory of Intelligent Control and Decision of Complex Systems"
1106 条 记 录,以下是231-240 订阅
排序:
Manifestations of 9754 gout patients in a Chinese clinical center: A 10-year observational study
收藏 引用
Revue du Rhumatisme (Edition Francaise) 2022年 第1期89卷 65-71页
作者: Gao, Qianhui Cheng, Xiaoyu Merriman, Tony R. Wang, Can Cui, Lingling Zhang, Hui Sun, Wenyan Wang, Jing Wang, Feiyue Li, Changgui Lu, Jie Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout Department of Endocrinology and Metabolism the Affiliated Hospital of Qingdao University Qingdao 266003 China Institute of Metabolic Diseases Qingdao University Qingdao 266003 China Department of Biochemistry University of Otago Dunedin New Zealand Division of Clinical Immunology and Rheumatology University of Alabama Birmingham Alabama United States Institute of Smart Healthcare Systems Qingdao Academy of Intelligent Industries Qingdao 266109 China The State Key Laboratory for Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China
Objectif: La prévalence de la goutte augmente, mais les études analysant ses caractéristiques cliniques dans de grands échantillons sont insuffisantes. Cette étude s'attache à clarifi... 详细信息
来源: 评论
DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2022年 第12期9卷 2055-2062页
作者: Xiujuan Wang Mengzhen Kang Hequan Sun Philippe de Reffye Fei-Yue Wang The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Beijing Engineering Research Center of Intelligent Systems and Technology Beijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190 Department of Chromosome Biology Max Planck Institute for Plant Breeding ResearchBeijing 100049China Faculty of Biology LMU MunichGroßhaderner Str.2Planegg-Martinsried D-82152Germany AMAP Univ MontpellierCIRADCNRSINRAEIRDMontpellier F-34398France IEEE Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China
The demand for food is tremendously increasing with the growth of the world population,which necessitates the development of sustainable agriculture under the impact of various factors,such as climate *** fulfill this... 详细信息
来源: 评论
A Novel YJQR-LSTM Model for Nonparametric Probabilistic Sustainable Agriculture Wind Power Forecasting Based on intelligent IoT
收藏 引用
IEEE Internet of Things Journal 2024年
作者: Wang, Jie Jiang, Junhui Chen, Xinlong Cai, Defu Wu, Yue Lu, Renzhi School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Harbin Engineering University College of Computer Science and Technology Harbin150001 China State Grid Hubei Electric Power Research Institute Hubei Wuhan430079 China School of Technology State Key Laboratory of Efficient Production of Forest Resources Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation Beijing Forestry University Beijing100083 China Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing400065 China State Key Laboratory of Mechanical Transmission for Advanced Equipment Chongqing University Chongqing400044 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China
Energy costs associated with the consumption of non-renewable energy sources have become an important issue in improving the international competitiveness of agriculture. Wind power, as a renewable energy source, can ... 详细信息
来源: 评论
Resource Scheduling Base on Bayesian Cramer-Rao Lower Bound for Multi-Target Tracking in Netted Colocated MIMO Radar systems
Resource Scheduling Base on Bayesian Cramer-Rao Lower Bound ...
收藏 引用
第40届中国控制会议
作者: Sijian Liao Zhihong Peng Junqi Cai School of Automation Beijing Institute of Technology China State Key Laboratory of Intelligent Control and Decision of Complex System
In this paper, an effective joint beam selection and power allocation(JBSPA) method is proposed to solve the online resource scheduling problem for multi-target tracking in distributed MIMO radar system. Overall tar... 详细信息
来源: 评论
Efficient Multi-Robot Coverage of an Unknown Environment
Efficient Multi-Robot Coverage of an Unknown Environment
收藏 引用
第40届中国控制会议
作者: Zihao Chen Zhihong Peng Lei Jiao Yuanyuan Gui School of Automation Beijing Institute of Technology China State Key Laboratory of Intelligent Control and Decision of Complex System
This paper discusses the complete area coverage of multi-robots in unknown environments. Finding the optimal solution for the problem of area coverage with multiple robots has been proven to be NP-hard. This paper pro... 详细信息
来源: 评论
A novel hybrid neural network of fluid-structure interaction prediction for two cylinders in tandem arrangement
arXiv
收藏 引用
arXiv 2025年
作者: Lyu, Yanfang Zhang, Yunyang Gong, Zhiqiang Kang, Xiao Yao, Wen Pei, Yongmao State Key Laboratory for Turbulence and Complex Systems Center for Applied Physics and Technology College of Engineering Peking University Beijing100871 China Defense Innovation Institute Chinese Academy of Military Science Beijing100071 China Intelligent Game and Decision Laboratory Beijing100071 China Institute of Advanced Structure Technology Beijing Institute of Technology Beijing100081 China
Deep learning has shown promise in improving computing efficiency while ensuring modeling accuracy in fluid-structure interaction (FSI) analysis. However, its current capabilities are limited when it comes to construc... 详细信息
来源: 评论
Cross-Membrane Penetration to Nucleus of Adherent Cells Using Micropipettes Made by Borosilicate Glass and Quartz  17
Cross-Membrane Penetration to Nucleus of Adherent Cells Usin...
收藏 引用
17th IEEE International Conference on Mechatronics and Automation, ICMA 2020
作者: Xu, Xinyue Liu, Xiaoming Lin, Yuqing Li, Pengyun Liu, Fengyu Tang, Xiaoqing Huang, Qiang Arai, Tatsuo Beijing Institute of Technology Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Mechatronical Engineering Beijing100081 China
In the biomicromanipulation field, single-cell manipulation is receiving attention due to its potential applications in many aspects of biomedicine. Cell injection, as a typical cell micromanipulation technique, is de... 详细信息
来源: 评论
Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments using Sliding Primitives
Learning Pre-Grasp Manipulation of Flat Objects in Cluttered...
收藏 引用
IEEE International Conference on Robotics and Automation (ICRA)
作者: Jiaxi Wu Haoran Wu Shanlin Zhong Quqin Sun Yinlin Li State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China Department of Automation University of Science and Technology of China Heifei China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Science Beijing China Science and Technology on Thermal Energy and Power Laboratory Wuhan China
Flat objects with negligible thicknesses like books and disks are challenging to be grasped by the robot because of the width limit of the robot's gripper, especially when they are in cluttered environments. Pre-g...
来源: 评论
Visual Explanation of Object Detectors via Saliency Maps
Visual Explanation of Object Detectors via Saliency Maps
收藏 引用
IEEE Conference on Industrial Electronics and Applications (ICIEA)
作者: Jin Xiao Wenrui Liu Xiaoguang Hu Hao Jiang Weipeng Wang Li Yahang State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Beihang University Beijing China The Third Academy of CASIC Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
In recent years, rapid progress of deep learning has resulted in object detection algorithms based on deep neural networks nearly completely replacing traditional methods. This shift has led to significant improvement...
来源: 评论
Boosting Black-Box Adversarial Attacks with Meta Learning
arXiv
收藏 引用
arXiv 2022年
作者: Fu, Junjie Sun, Jian Wang, Gang The State Key Lab of Intelligent Control and Decision of Complex Systems The School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China
Deep neural networks (DNNs) have achieved remarkable success in diverse fields. However, it has been demonstrated that DNNs are very vulnerable to adversarial examples even in black-box settings. A large number of bla... 详细信息
来源: 评论