咨询与建议

限定检索结果

文献类型

  • 475 篇 会议

馆藏范围

  • 475 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 361 篇 工学
    • 245 篇 计算机科学与技术...
    • 180 篇 电气工程
    • 156 篇 控制科学与工程
    • 41 篇 软件工程
    • 11 篇 机械工程
    • 11 篇 生物医学工程(可授...
    • 10 篇 信息与通信工程
    • 10 篇 生物工程
    • 9 篇 仪器科学与技术
    • 9 篇 动力工程及工程热...
    • 8 篇 交通运输工程
    • 6 篇 安全科学与工程
    • 6 篇 网络空间安全
    • 4 篇 土木工程
    • 3 篇 力学(可授工学、理...
    • 3 篇 冶金工程
    • 3 篇 电子科学与技术(可...
    • 3 篇 建筑学
    • 3 篇 石油与天然气工程
    • 3 篇 航空宇航科学与技...
  • 138 篇 理学
    • 101 篇 系统科学
    • 33 篇 数学
    • 12 篇 生物学
    • 9 篇 统计学(可授理学、...
    • 8 篇 化学
    • 6 篇 物理学
  • 21 篇 管理学
    • 19 篇 管理科学与工程(可...
    • 10 篇 图书情报与档案管...
    • 5 篇 工商管理
  • 5 篇 医学
    • 5 篇 临床医学
  • 2 篇 经济学
  • 2 篇 法学
  • 2 篇 教育学
  • 1 篇 军事学

主题

  • 47 篇 iterative learni...
  • 41 篇 mathematical mod...
  • 31 篇 data models
  • 23 篇 convergence
  • 23 篇 control systems
  • 23 篇 nonlinear system...
  • 22 篇 trajectory
  • 16 篇 predictive model...
  • 16 篇 fault detection
  • 16 篇 adaptation model...
  • 15 篇 deep learning
  • 14 篇 uncertainty
  • 14 篇 training
  • 13 篇 reinforcement le...
  • 13 篇 closed loop syst...
  • 13 篇 adaptive control
  • 12 篇 optimization
  • 12 篇 heuristic algori...
  • 11 篇 stability analys...
  • 11 篇 feature extracti...

机构

  • 10 篇 qingdao univ sci...
  • 7 篇 north china univ...
  • 6 篇 qingdao univ sci...
  • 6 篇 beijing key lab ...
  • 5 篇 beijing univ che...
  • 5 篇 beijing jiaotong...
  • 4 篇 beijing inst tec...
  • 4 篇 qingdao univ sci...
  • 4 篇 zhejiang univ te...
  • 3 篇 qingdao univ sci...
  • 3 篇 college of contr...
  • 3 篇 school of automa...
  • 3 篇 nankai univ coll...
  • 3 篇 research center ...
  • 3 篇 school of mathem...
  • 3 篇 jiangnan univ sc...
  • 3 篇 school of electr...
  • 3 篇 jiangnan univ in...
  • 3 篇 qingdao univ sci...
  • 3 篇 changchun univer...

作者

  • 10 篇 chi ronghu
  • 8 篇 ronghu chi
  • 8 篇 hou zhongsheng
  • 7 篇 zhongsheng hou
  • 6 篇 liu yang
  • 6 篇 wang li
  • 6 篇 li wang
  • 5 篇 liu keping
  • 5 篇 deqing huang
  • 5 篇 lu renquan
  • 5 篇 zhihuan song
  • 5 篇 ren hongru
  • 5 篇 sun zhongbo
  • 5 篇 huang deqing
  • 5 篇 zhang ruikun
  • 4 篇 xingping liu
  • 4 篇 su hongye
  • 4 篇 xie lei
  • 4 篇 song zhihuan
  • 4 篇 liu yi

语言

  • 461 篇 英文
  • 9 篇 中文
  • 5 篇 其他
检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"
475 条 记 录,以下是451-460 订阅
排序:
Usage of Fully Convolutional Network with Clustering for Traffic Light Detection  7
Usage of Fully Convolutional Network with Clustering for Tra...
收藏 引用
7th Mediterranean conference on Embedded Computing (MECO)
作者: Yudin, Dmitry Slavioglo, Dmitry Belgorod State Technol Univ Dept Tech Cybernet Belgorod Russia
In this paper we consider a traffic light detector constructed on the basis of a fully convolutional neural network for segmenting traffic lights on image and subsequent clustering, which allows us to obtain bounding ... 详细信息
来源: 评论
Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier  7
Hand Gesture Classification in Transradial Amputees Using th...
收藏 引用
7th ieee International conference on Biomedical Robotics and Biomechatronics (BIOROB)
作者: Cognolato, M. Atzori, M. Faccio, D. Tiengo, C. Bassetto, F. Gassert, R. Mueller, H. Univ Appl Sci Western Switzerland HES SO Valais Informat Syst Inst Sierre Switzerland Swiss Fed Inst Technol Dept Hlth Sci & Technol Rehabil Engn Lab Zurich Switzerland Padova Univ Hosp Clin Plast Surg Padua Italy
Dexterous hand prostheses controlled via surface electromyography represent the most advanced non invasive functional restorative solution for hand amputees. However, control difficulties, comfort problems and high co... 详细信息
来源: 评论
Dow Jones Trading with Deep learning: the Unreasonable Effectiveness of Recurrent Neural Networks  7
Dow Jones Trading with Deep Learning: The Unreasonable Effec...
收藏 引用
7th International conference on data Science, Technology and Applications, data 2018
作者: Fabbri, Mirco Moro, Gianluca University of Bologna Via Cesare Pavese CesenaI-47522 Italy
though recurrent neural networks (RNN) outperform traditional machine learning algorithms in the detection of long-term dependencies among the training instances, such as in term sequences in sentences or among values... 详细信息
来源: 评论
Modeling and Optimizing Building HVAC Energy systems Using Deep Neural Networks  7
Modeling and Optimizing Building HVAC Energy Systems Using D...
收藏 引用
7th International conference on Smart Grid and Clean Energy Technologies (ICSGCE)
作者: Deng, Jiahao Wang, Haoran Depaul Univ Coll Comp & Digital Media Chicago IL 60604 USA Arris Int Sunnyvale CA 94089 USA
the heating, ventilating and air conditioning (HVAC) systems consumes more than half of the building energy consumption. An efficient HVAC system ensures the comfortable living and working environment. In this researc... 详细信息
来源: 评论
Real-Time Localized control of Transient Stability by the Localized Transient Stability (LTS) Method with Static Var Compensator (SVC)  7
Real-Time Localized Control of Transient Stability by the Lo...
收藏 引用
7th International conference on Smart Grid and Clean Energy Technologies (ICSGCE)
作者: Miah, Abdul Malek South Carolina State Univ Dept Ind & Elect Engn Technol Orangeburg SC 29115 USA
Real-time localized control of transient stability by the very recently proposed Localized Transient Stability (LTS) Method with Static Var Compensator (SVC) as the local control means is presented here. However, sinc... 详细信息
来源: 评论
ieee International conference on Adaptive Science and Technology, ICAST
IEEE International Conference on Adaptive Science and Techno...
收藏 引用
7th ieee International conference on Adaptive Science and Technology, ICAST 2018
the proceedings contain 44 papers. the topics discussed include: dvelopment of an embedded obstacle avoidance and path planning autonomous solar grass cutting robot for semistructured outdoor environment;sentiment ana...
来源: 评论
Dynamic Transcriptomic data Analysis by Integrating data-driven and Model-guided Approaches
Dynamic Transcriptomic Data Analysis by Integrating Data-dri...
收藏 引用
7th conference on Foundation of systems Biology in Engineering (FOSBE)
作者: Hilliard, Matthew He, Q. Peter Wang, Jin Auburn Univ Dept Chem Engn Auburn AL 36849 USA
the rapid development in "omics" technologies offer unprecedented opportunities to help understand cellular metabolism at genome-scale. Among different "omics" data, RNAseq based transcriptome prof... 详细信息
来源: 评论
How Meta-heuristic Algorithms Contribute to Deep learning in the Hype of Big data Analytics  4th
How Meta-heuristic Algorithms Contribute to Deep Learning in...
收藏 引用
4th International conference on Advanced Computing, Networking and Informatics (ICACNI)
作者: Fong, Simon Deb, Suash Yang, Xin-she Univ Macau Dept Comp Informat Sci Macau Peoples R China INNS India Reg Chapter 7th Floor Jorar Ranchi 834010 Jharkhand India Middlesex Univ Sch Sci & Technol London NW4 4BT England
Deep learning (DL) is one of the most emerging types of contemporary machine learning techniques that mimic the cognitive patterns of animal visual cortex to learn the new abstract features automatically by deep and h... 详细信息
来源: 评论
DMPC Applied to the Temperature Regulation System of Building under Packet Dropout Communication
DMPC Applied to the Temperature Regulation System of Buildin...
收藏 引用
ieee data driven control and learning systems conference
作者: Qingnan Huang Liujun Xie College of Electrical and Information Engineering Guangxi University Of Science and Technology Liu zhou 545006
A solution to the interference of control signals and signal loss in the process of signal transmission in the process of decentralized model predictive control (DMPC) is introduced in this paper. Judging whether the ... 详细信息
来源: 评论
Exponential Stability for Event-driven Impulsive control systems
Exponential Stability for Event-Driven Impulsive Control Sys...
收藏 引用
ieee data driven control and learning systems conference
作者: Zidong Ai College of Automation and Electronic Engineering Qingdao University of Science and Technology
In this work, we conduct stability analysis for a class of multi-module impulsive control systems via an event-driven scheme. By designing some event-driven conditions and a proper event-driven impulsive control law, ... 详细信息
来源: 评论