咨询与建议

限定检索结果

文献类型

  • 716 篇 会议

馆藏范围

  • 716 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 324 篇 工学
    • 186 篇 计算机科学与技术...
    • 180 篇 控制科学与工程
    • 168 篇 软件工程
    • 46 篇 机械工程
    • 41 篇 电气工程
    • 29 篇 信息与通信工程
    • 26 篇 交通运输工程
    • 21 篇 生物医学工程(可授...
    • 16 篇 电子科学与技术(可...
    • 16 篇 航空宇航科学与技...
    • 14 篇 光学工程
    • 13 篇 石油与天然气工程
    • 11 篇 安全科学与工程
    • 10 篇 动力工程及工程热...
    • 10 篇 土木工程
    • 10 篇 船舶与海洋工程
    • 10 篇 生物工程
    • 9 篇 仪器科学与技术
    • 9 篇 建筑学
    • 9 篇 化学工程与技术
  • 148 篇 理学
    • 83 篇 数学
    • 57 篇 系统科学
    • 20 篇 统计学(可授理学、...
    • 17 篇 物理学
    • 11 篇 生物学
  • 28 篇 管理学
    • 22 篇 管理科学与工程(可...
    • 10 篇 图书情报与档案管...
    • 9 篇 工商管理
  • 9 篇 医学
    • 9 篇 基础医学(可授医学...
    • 9 篇 临床医学
  • 4 篇 经济学
  • 4 篇 教育学
  • 4 篇 农学
  • 3 篇 法学
  • 2 篇 军事学
  • 1 篇 文学

主题

  • 179 篇 learning systems
  • 83 篇 control systems
  • 67 篇 accuracy
  • 59 篇 simulation
  • 53 篇 adaptation model...
  • 50 篇 predictive model...
  • 48 篇 data models
  • 40 篇 training
  • 36 篇 process control
  • 34 篇 stability analys...
  • 34 篇 heuristic algori...
  • 32 篇 uncertainty
  • 29 篇 neural networks
  • 29 篇 numerical simula...
  • 29 篇 feature extracti...
  • 28 篇 observers
  • 26 篇 adaptive systems
  • 25 篇 reinforcement le...
  • 24 篇 noise
  • 22 篇 deep learning

机构

  • 24 篇 school of electr...
  • 14 篇 school of mathem...
  • 12 篇 school of electr...
  • 12 篇 school of automa...
  • 11 篇 faculty of infor...
  • 9 篇 college of contr...
  • 9 篇 kunming universi...
  • 9 篇 college of contr...
  • 8 篇 college of artif...
  • 8 篇 school of artifi...
  • 8 篇 college of artif...
  • 8 篇 faculty of mecha...
  • 8 篇 beijing key labo...
  • 8 篇 yunnan key labor...
  • 8 篇 school of electr...
  • 7 篇 school of automa...
  • 7 篇 college of infor...
  • 7 篇 state key labora...
  • 6 篇 school of electr...
  • 6 篇 school of automa...

作者

  • 18 篇 wang li
  • 18 篇 li wang
  • 11 篇 deqing huang
  • 11 篇 ji honghai
  • 11 篇 liu shida
  • 11 篇 shida liu
  • 11 篇 honghai ji
  • 10 篇 huang deqing
  • 8 篇 darong huang
  • 7 篇 xiaoli li
  • 6 篇 kang wang
  • 6 篇 feng li
  • 6 篇 song zhihuan
  • 6 篇 ruikun zhang
  • 6 篇 zhou zhou
  • 5 篇 ye ren
  • 5 篇 fan lingling
  • 5 篇 liu yang
  • 5 篇 ren ye
  • 5 篇 zengqiang chen

语言

  • 632 篇 英文
  • 84 篇 其他
检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"
716 条 记 录,以下是281-290 订阅
排序:
Recognition of Scalp Psoriasis Dermoscopic Patterns Signs Based on Histogram Equalization and Convolutional Neural Networks  13
Recognition of Scalp Psoriasis Dermoscopic Patterns Signs Ba...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Ji, Honghai Li, Jiaqi Jiang, Weiwei Wang, Li Liu, Shida Chen, Yang School of Electronics & Control Engineering North China University of Technology Beijing100144 China 72nd Group Army Hospital of Pla Department of Dermatology Zhejiang313000 China
Scalp psoriasis is a common chronic autoimmune inflammatory skin disease that affects a large number of people worldwide. Although scalp psoriasis is not physically a serious life-threatening condition for patients, t... 详细信息
来源: 评论
Design of a Full-Space Tracking and Measurement System Based on the Light Pen with Deep learning Methods  13
Design of a Full-Space Tracking and Measurement System Based...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Cui, Yu Li, Xu Na, Jing Gao, Guanbin Xing, Yashan Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China Luzhou Laojiao Co.Ltd Luzhou646000 China
Visual measurement, a critical component in industrial production, often faces accuracy challenges due to image distortion at the edges of the field of view, particularly in large spaces. this paper capitalizes on the... 详细信息
来源: 评论
Anti-Windup Active Power control for Wind Turbines Considering Loads Reduction  13
Anti-Windup Active Power Control for Wind Turbines Consideri...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Wang, Guozhong Luo, Hao Jiao, Xuguo Yang, Zhibo Zhao, Xinxin School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China
In recent years, the proportion of wind power in electricity contribution is increasing, and wind power generation technology has developed rapidly. How to enhance the stability of wind turbine systems and extend thei... 详细信息
来源: 评论
Capacity Configuration Model for Power Dispatch and Clean Energy Peak Shaving with Large-Scale Liquid Flow Batteries  13
Capacity Configuration Model for Power Dispatch and Clean En...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Li, Dianyang Cui, Dai Xiao, Nan Li, Jiaze Jiang, Huijie Yang, Feiran State Grid Liaoning Electric Power Co. Ltd Power Dispatching Control Center Shenyang China College of Information Science and Engineering Northeastern University Shenyang China
the rapid development of renewable energy has brought us closer to achieving carbon peak and carbon neutrality goals, but it has also exacerbated the challenge of load fluctuation in power grids. To enhance grid stabi... 详细信息
来源: 评论
A Bottom-Up Human Pose Estimation Correction Method Based on Object Detection  13
A Bottom-Up Human Pose Estimation Correction Method Based on...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Zhang, Xiaoping Meng, Xiangpeng Chu, Kai-Fung Wang, Li School of Electrical and Control Engineering North China University of Technology Beijing100144 China University of Cambridge Department of Engineering Cambridge United Kingdom
As computer vision technology is widely applied in various domains, it inevitably faces complex and crowded scenes. However, human images in these scenes are more susceptible to occlusion, which degrades the performan... 详细信息
来源: 评论
data-driven Active Power Dispatch for Wind Farms  13
Data-Driven Active Power Dispatch for Wind Farms
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Jiao, Xuguo Zhang, Daoyuan Wang, Xin Ma, Zhaoxing Zhang, Zhenyong Liu, Wenfeng School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Ministry of Education Shandong Computer Science Center Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Jinan250014 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang550025 China School of Civil Engineering Qingdao University of Technology Qingdao266520 China
Active power dispatch of wind farms plays an important role in power grid scheduling. In this paper, a data-driven active power dispatch strategy for wind farms is proposed, which uses the key point of minimizing the ... 详细信息
来源: 评论
Semi-Supervised Soft Sensor Modeling for Industrial Dynamic Information Mining Based on Two-Path Weight Comparison  13
Semi-Supervised Soft Sensor Modeling for Industrial Dynamic ...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Jia, Ruining Jin, Xinyi Ni, Xinru Ruan, Mengjiao Yang, Zeyu Wang, Peiliang School of Engineering Huzhou University Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems Huzhou313000 China
Deep learning methods can extract reliable feature representations from massive process data to build accurate soft sensor models. However, the data in actual industrial production is often nonlinear, dynamic, and eve... 详细信息
来源: 评论
Lidar-Inertial and Downward Vision Based Mobile Robot SLAM in Digital Workshops  13
Lidar-Inertial and Downward Vision Based Mobile Robot SLAM i...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Zhang, Yanchao Geng, Hao Liu, Bin Zhang, Yinlong Yuan, Xudong Zhang, Sichao School of Information Science and Engineering Shenyang University of Technology Shenyang110020 China Guangzhou Institute of Industrial Intelligence Guangzhou511458 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China
In order to solve the problems of long-term cumulative error and the absence of absolute pose in the existing Lidar-Inertial Measurement Unit (IMU) fusion methods for Automated Guided Vehicle (AGV) Simultaneous Locali... 详细信息
来源: 评论
Design of a Cough Detection System Based on Vibration and Audio Signals for Post- thoracic Surgery Patients  13
Design of a Cough Detection System Based on Vibration and Au...
收藏 引用
13th ieee data driven control and learning systems conference, ddcls 2024
作者: Qiu, Zhilin Liu, Quan Gao, Guanbin Peng, Jun Xing, Yashan Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Kunming650500 China Kunming University of Science and Technology Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming650500 China First People's Hosp. of Yunnan Province Affiliated to Kunming University of Science and Technology Department of Thoracic Surgery Kunming650100 China
Cough is a vital rehabilitation indicator which can exhibit many complications after thoracic surgical procedures. In this paper, a portable bimodal cough detector that can achieve consecutive detection is designed to... 详细信息
来源: 评论
Prediction of Ship Propulsion Power based on Bayesian optimized LightGBM Using Ship In-Service data  13
Prediction of Ship Propulsion Power based on Bayesian optimi...
收藏 引用
13th ieee International conference on Communications, Circuits and systems (ICCCAS)
作者: Liu Xu Zhang Antong Sun Qiang Guo Yu Yin Wenhui Yang Yunfan Bao Jiawei China Ship Sci Res Ctr Wuxi Jiangsu Peoples R China
In maritime operations, accurate prediction and control of the propulsion power of the ship's main engine are crucial, as they directly impact the fuel economy, speed performance and carbon emission control. To en... 详细信息
来源: 评论