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671-680 订阅
排序:
Information Entropy-Based Fault Detection for Quality-Related Processes
Information Entropy-Based Fault Detection for Quality-Relate...
收藏 引用
data driven control and learning systems (ddcls)
作者: Yongye Zhu Jinglin Zhou College of Information Science & Technology Beijing University of Chemical Technology Beijing China
Canonical Correlation Analysis (CCA) is currently very popular in the field of data-driven fault detection. the CCA method usually assumes that the data obeys a Gaussian distribution, but the sample data collected in ... 详细信息
来源: 评论
Structure-constrain Source Free Domain Adaptation with Regularized Knowledge Distillation of Source Model
Structure-constrain Source Free Domain Adaptation with Regul...
收藏 引用
data driven control and learning systems (ddcls)
作者: Dan Yang Xin Peng Cheng Su Dayu Tan Chaoyang Chen Weimin Zhong Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui China School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan China
Transfer learning aims to leverage the knowledge of the source domain to help the learning of unlabeled target domain models. However, all conventional transfer learning methods assume that samples from source and tar... 详细信息
来源: 评论
data-driven Active Power Dispatch for Wind Farms
Data-Driven Active Power Dispatch for Wind Farms
收藏 引用
data driven control and learning systems (ddcls)
作者: Xuguo Jiao Daoyuan Zhang Xin Wang Zhaoxing Ma Zhenyong Zhang Wenfeng Liu School of Information and Control Engineering Qingdao University of Technology Qingdao China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China School of Civil Engineering Qingdao University of Technology Qingdao 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
Exponential Weighted Moving Average-Based Variational Mode Decomposition Method for Fault Diagnosis of Vehicle Batteries
Exponential Weighted Moving Average-Based Variational Mode D...
收藏 引用
data driven control and learning systems (ddcls)
作者: Penghao Wu Hongfeng Tao Engang Tian Tangwen Yin Hongtian Chen Yiyang Chen School of Mechanical and Electrical Engineering Soochow University Suzhou P. R. China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi P. R. China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai P. R. China Department of Automation Shanghai Jiao Tong University Shanghai China
In recent years, the rapid advancement of electric vehicles has heightened concerns regarding the safety of high-energy batteries. Consequently, there has been a significant focus on the development of fault diagnosis... 详细信息
来源: 评论
Camouflaged Object Detection through Feature Selection and Enhancement
Camouflaged Object Detection Through Feature Selection and E...
收藏 引用
data driven control and learning systems (ddcls)
作者: Yin Yuan Kanjian Zhang Jinxia Zhang The Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing P. R. China Southeast University Shenzhen Research Institute Shenzhen China
Camouflaged object detection is a widely explored problem, the goal of which is to completely segment objects hidden in the background. Compared with general object segmentation and salient object detection tasks, thi... 详细信息
来源: 评论
Deep Metric learning with Impulsive Neural Network
Deep Metric Learning with Impulsive Neural Network
收藏 引用
data driven control and learning systems (ddcls)
作者: Hong-Zhou Chen Bin Hu Long Chen Zhi-Hong Guan School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan P. R. China School of Future Technology South China University of Technology Guangzhou P. R. China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan P. R. China
Neural networks with siamese and triplet structures can discriminate between samples by explicitly learning the distance measure. But the dominant metric learning model based on deep neural networks (DNN) has issues w... 详细信息
来源: 评论
CGA-MAE: Camera-Guided Alignment to Auxiliary Point Cloud Masked Autoencoders for 3D Object Detection
CGA-MAE: Camera-Guided Alignment to Auxiliary Point Cloud Ma...
收藏 引用
data driven control and learning systems (ddcls)
作者: Haolong Peng Yibo Chen Yuxi Chen Ke Zhu Jianming Zhang Zhejiang Polytechnic institute Polytechnic institute Zhejiang University Hangzhou China Zhejiang University Robotics Institute Yuyao China College of control science and engineering Zhejiang University Hangzhou China
Masked Autoencoders have demonstrated remarkable proficiency in acquiring robust visual representations and achieving cutting-edge outcomes across diverse independent modalities, However, only a handful of studies hav... 详细信息
来源: 评论
Adaptive control for Autonomous Underwater Vehicles without Kinetic Model using Deep Neural Network
Adaptive Control for Autonomous Underwater Vehicles without ...
收藏 引用
data driven control and learning systems (ddcls)
作者: Shihui Jiang Tianbo Zhang Jing Fang Xing Liu Dong Shen CSSC Systems Engineering Research Institute Beijing P. R. China Department of Automation Beijing National Research Center for Info. Sci. & Tech. (BNRist) Tsinghua University Beijing P. R. China School of Mathematics Renmin University of China Beijing P. R. China
this paper concerns the trajectory tracking control of autonomous underwater vehicles (AUVs) at the kinematic and kinetic levels. Considering the accurate kinetic model of AUVs unavailable in practice, an adaptive con... 详细信息
来源: 评论
Time Series Prediction Problems Under Covariate Drift
Time Series Prediction Problems Under Covariate Drift
收藏 引用
data driven control and learning systems (ddcls)
作者: Xiaoxue Liang Kuangrong Hao Lei Chen Lihong Ren Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Donghua University Shanghai China College of Information Sciences and Technology Donghua University Shanghai China
In the real world, time series data are ubiquitous, and the prediction task of time series data is very important. Most real-world time series data do not satisfy the assumption of independent and identical distributi... 详细信息
来源: 评论
Beyond Nash Equilibrium: Achieving Bayesian Perfect Equilibrium with Belief Update Fictitious Play
Beyond Nash Equilibrium: Achieving Bayesian Perfect Equilibr...
收藏 引用
data driven control and learning systems (ddcls)
作者: Qi Ju Zhemei Fang Yunfeng Luo School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan P. R. China National Key Laboratory of Science and Technology on Multispectral Information Processing Wuhan P. R. China
In the domain of machine learning and game theory, the quest for Nash Equilibrium (NE) in extensive-form games with incomplete information is challenging yet crucial for enhancing AI's decision-making support unde... 详细信息
来源: 评论