咨询与建议

限定检索结果

文献类型

  • 1,234 篇 会议
  • 804 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 2,039 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,322 篇 工学
    • 759 篇 计算机科学与技术...
    • 716 篇 软件工程
    • 414 篇 控制科学与工程
    • 218 篇 机械工程
    • 206 篇 信息与通信工程
    • 188 篇 生物工程
    • 162 篇 生物医学工程(可授...
    • 136 篇 电气工程
    • 95 篇 光学工程
    • 93 篇 仪器科学与技术
    • 83 篇 环境科学与工程(可...
    • 81 篇 电子科学与技术(可...
    • 71 篇 交通运输工程
    • 70 篇 化学工程与技术
    • 41 篇 土木工程
    • 36 篇 建筑学
    • 35 篇 材料科学与工程(可...
    • 34 篇 安全科学与工程
  • 710 篇 理学
    • 372 篇 数学
    • 205 篇 生物学
    • 139 篇 物理学
    • 117 篇 系统科学
    • 109 篇 统计学(可授理学、...
    • 59 篇 化学
  • 316 篇 管理学
    • 226 篇 管理科学与工程(可...
    • 100 篇 图书情报与档案管...
    • 39 篇 工商管理
  • 111 篇 医学
    • 96 篇 临床医学
    • 63 篇 基础医学(可授医学...
    • 43 篇 药学(可授医学、理...
  • 35 篇 法学
  • 25 篇 农学
  • 20 篇 经济学
  • 11 篇 教育学
  • 2 篇 文学
  • 2 篇 艺术学
  • 1 篇 历史学
  • 1 篇 军事学

主题

  • 62 篇 feature extracti...
  • 57 篇 training
  • 47 篇 deep learning
  • 42 篇 semantics
  • 40 篇 predictive model...
  • 40 篇 visualization
  • 32 篇 neural networks
  • 32 篇 computational mo...
  • 29 篇 reinforcement le...
  • 29 篇 optimization
  • 28 篇 accuracy
  • 25 篇 task analysis
  • 25 篇 three-dimensiona...
  • 24 篇 robots
  • 24 篇 adaptation model...
  • 23 篇 convolution
  • 20 篇 stability analys...
  • 20 篇 control systems
  • 19 篇 conferences
  • 19 篇 object detection

机构

  • 295 篇 faculty of infor...
  • 256 篇 beijing key labo...
  • 101 篇 beijing key labo...
  • 85 篇 school of artifi...
  • 62 篇 university of ch...
  • 53 篇 engineering rese...
  • 52 篇 qingdao academy ...
  • 40 篇 state key labora...
  • 40 篇 institute of int...
  • 35 篇 beijing laborato...
  • 34 篇 ieee
  • 34 篇 guangdong provin...
  • 31 篇 school of intell...
  • 31 篇 state key labora...
  • 30 篇 beijing universi...
  • 30 篇 chongqing key la...
  • 29 篇 shanghai artific...
  • 28 篇 shenzhen college...
  • 27 篇 tianjin key labo...
  • 27 篇 beijing laborato...

作者

  • 64 篇 junfei qiao
  • 58 篇 wu xinyu
  • 47 篇 xiaoli li
  • 43 篇 gang xiong
  • 41 篇 qiao junfei
  • 36 篇 kang wang
  • 35 篇 wang fei-yue
  • 34 篇 fei-yue wang
  • 32 篇 ding wang
  • 31 篇 jia kebin
  • 30 篇 xiong gang
  • 30 篇 han honggui
  • 29 篇 zhen shen
  • 29 篇 wang guoyin
  • 28 篇 honggui han
  • 27 篇 xinyu wu
  • 27 篇 jian tang
  • 24 篇 xin zhao
  • 24 篇 yang li
  • 23 篇 zuo guoyu

语言

  • 1,921 篇 英文
  • 86 篇 其他
  • 34 篇 中文
检索条件"机构=Key Laboratory of Computational Intelligence and Intelligent Systems"
2039 条 记 录,以下是1-10 订阅
排序:
Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear systems
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2025年 第1期12卷 215-227页
作者: Ding Wang Lingzhi Hu Xiaoli Li Junfei Qiao IEEE the School of Information Science and Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protection and Beijing Institute of Artificial Intelligence Beijing University of Technology
In this paper, a fault-tolerant-based online critic learning algorithm is developed to solve the optimal tracking control issue for nonaffine nonlinear systems with actuator ***, a novel augmented plant is constructed... 详细信息
来源: 评论
Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial intelligence 2024年 第9期5卷 4607-4619页
作者: He, Kangjia Liu, Li Zhang, Youmin Wang, Ye Liu, Qun Wang, Guoyin Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Computational Intelligence Key Laboratory of Big Data Intelligent Computing Chongqing400065 China
Counterfactual subgraphs explain graph neural networks (GNNs) by answering the question: 'How would the prediction change if a certain subgraph were absent in the input instance?' The differentiable proxy adja... 详细信息
来源: 评论
Fractal autoencoder with redundancy regularization for unsupervised feature selection
收藏 引用
Science China(Information Sciences) 2025年 第2期68卷 89-102页
作者: Meiting SUN Fangyu LI Honggui HAN School of Information Science and Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing Institute of Artificial Intelligence
Feature selection is a crucial step in data preprocessing because feature selection reduces the dimensionality of data by eliminating irrelevant and redundant features. Since manual labeling is expensive, unsupervised... 详细信息
来源: 评论
Learning Class-Aware Local Representations for Few-Shot Remote Sensing Scene Classification
收藏 引用
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 13225-13237页
作者: Wang, Liu Zhuo, Li Zhang, Hui Li, Jiafeng Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China
Few-Shot Remote Sensing Scene Classification (FSRSSC) aims at recognizing novel categories with only a few labeled samples. Local representations can retain richer details than image-level feature vectors and adapt we... 详细信息
来源: 评论
Hierarchical Learning-Based Integrated Robust Optimal Control for Nonlinear systems
收藏 引用
IEEE Transactions on systems, Man, and Cybernetics: systems 2025年 第5期55卷 3119-3129页
作者: Zhang, Jiacheng Wang, Jingjing Han, Honggui Hou, Ying Huang, Yanting Beijing University of Technology Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China
The optimal control of nonlinear systems is crucial to improve system performance. However, the uncertainties of cost functions and systems dynamics make it difficult to solve the optimal control laws. To cope with th... 详细信息
来源: 评论
Position-aware pushing and grasping synergy with deep reinforcement learning in clutter
收藏 引用
CAAI Transactions on intelligence Technology 2024年 第3期9卷 738-755页
作者: Min Zhao Guoyu Zuo Shuangyue Yu Daoxiong Gong Zihao Wang Ouattara Sie Intelligent Robotics Laboratory Faculty of Information TechnologyBeijing University of TechnologyBeijingChina Beijing Key Laboratory of Computational Intelligence and Intelligent Systems BeijingChina Laboratory of Biomechatronics and Intelligent Robotics(BIRO) Department of Mechanical and Aerospace EngineeringNorth Carolina State UniversityRaleighNorth CarolinaUSA
The positional information of objects is crucial to enable robots to perform grasping and pushing manipulations in *** effectively perform grasping and pushing manipu-lations,robots need to perceive the position infor... 详细信息
来源: 评论
Fuzzy Neural Network-Based Adaptive Asymmetric Constraint Control in Wastewater Treatment Process
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial intelligence 2024年 第6期5卷 3284-3296页
作者: Chen, Dingyuan Yang, Cuili Qiao, Junfei Beijing University of Technology Faculty of Information Technology Beijing Laboratory for Intelligent Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Institute of Artificial Intelligence Beijing100124 China
Wastewater treatment process (WWTP) is an important mean to prevent water pollution and improve ecological environment. Dissolved oxygen (DO) and nitrate nitrogen (NO3-N) concentrations are the main indicators to affe... 详细信息
来源: 评论
A hybrid attention model based on first-order statistical features for smoke recognition
收藏 引用
Science China(Technological Sciences) 2024年 第3期67卷 809-822页
作者: GUO Nan LIU JiaHui DI KeXin GU Ke QIAO JunFei Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Artificial Intelligence InstituteBeijing 100124China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China
Smoke and fire recognition are of great importance on foreseeing fire disasters and preventing environmental pollution by monitoring the burning process of objects(e.g., straw, fuels). However, since fire images suffe... 详细信息
来源: 评论
Prototype Enhancement-Based Incremental Evolution Learning for Urban Garbage Classification
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial intelligence 2024年 第1期5卷 398-411页
作者: Han, Honggui Fan, Xiaoye Li, Fangyu Beijing University of Technology Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Institute of Artificial Intelligence Beijing100124 China
Deep neural network (DNN) based on incremental learning provides support for efficient garbage classification tasks. However, it is always challenging to accurately learn and preserve the information of known classes ... 详细信息
来源: 评论
Online Aware Synapse Weighted Autoencoder for Recovering Random Missing Data in Wastewater Treatment Process
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial intelligence 2024年 第2期5卷 578-589页
作者: Han, Honggui Sun, Meiting Li, Fangyu Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing University of Technology Beijing100124 China Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing100124 China
Missing values in wastewater treatment process (WWTP) data hinder the monitoring and prediction of operational status. Therefore, various online imputation methods have been proposed to recover missing values from str... 详细信息
来源: 评论