咨询与建议

限定检索结果

文献类型

  • 197 篇 会议
  • 186 篇 期刊文献

馆藏范围

  • 383 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 247 篇 工学
    • 171 篇 计算机科学与技术...
    • 142 篇 软件工程
    • 56 篇 控制科学与工程
    • 50 篇 信息与通信工程
    • 28 篇 机械工程
    • 28 篇 电气工程
    • 24 篇 生物工程
    • 22 篇 光学工程
    • 20 篇 电子科学与技术(可...
    • 20 篇 生物医学工程(可授...
    • 10 篇 交通运输工程
    • 9 篇 化学工程与技术
    • 8 篇 安全科学与工程
    • 7 篇 仪器科学与技术
    • 7 篇 材料科学与工程(可...
    • 7 篇 动力工程及工程热...
    • 5 篇 建筑学
    • 5 篇 土木工程
  • 125 篇 理学
    • 67 篇 数学
    • 28 篇 物理学
    • 27 篇 系统科学
    • 26 篇 生物学
    • 17 篇 统计学(可授理学、...
    • 12 篇 化学
  • 59 篇 管理学
    • 40 篇 管理科学与工程(可...
    • 20 篇 图书情报与档案管...
    • 14 篇 工商管理
  • 13 篇 法学
    • 12 篇 社会学
  • 10 篇 医学
    • 10 篇 临床医学
    • 7 篇 基础医学(可授医学...
  • 7 篇 农学
  • 2 篇 经济学
  • 2 篇 教育学
  • 2 篇 艺术学
  • 1 篇 文学

主题

  • 13 篇 automation
  • 13 篇 laboratories
  • 13 篇 feature extracti...
  • 10 篇 semantics
  • 9 篇 training
  • 8 篇 deep learning
  • 8 篇 process control
  • 7 篇 reinforcement le...
  • 7 篇 image segmentati...
  • 7 篇 visualization
  • 7 篇 control systems
  • 6 篇 computer science
  • 6 篇 application soft...
  • 6 篇 neural networks
  • 6 篇 mobile robots
  • 6 篇 navigation
  • 6 篇 trajectory
  • 6 篇 automatic contro...
  • 6 篇 machine learning
  • 6 篇 humans

机构

  • 20 篇 school of artifi...
  • 19 篇 state key labora...
  • 19 篇 state key labora...
  • 17 篇 department of au...
  • 9 篇 hubei key labora...
  • 9 篇 the pillar of in...
  • 9 篇 the state key la...
  • 8 篇 pillar of inform...
  • 8 篇 school of electr...
  • 8 篇 the school of co...
  • 8 篇 the school of au...
  • 8 篇 school of comput...
  • 8 篇 school of automa...
  • 7 篇 key laboratory o...
  • 7 篇 school of automa...
  • 7 篇 school of electr...
  • 7 篇 school of comput...
  • 6 篇 school of mechan...
  • 6 篇 guangdong-hongko...
  • 6 篇 the department o...

作者

  • 14 篇 xiong zehui
  • 14 篇 kang jiawen
  • 13 篇 niyato dusit
  • 10 篇 du hongyang
  • 8 篇 johansson karl h...
  • 8 篇 gao feifei
  • 8 篇 fei-yue wang
  • 8 篇 wang changwei
  • 8 篇 kim dong in
  • 8 篇 hu weiming
  • 8 篇 xu rongtao
  • 7 篇 yi xinlei
  • 7 篇 xu shibiao
  • 6 篇 wang da-han
  • 6 篇 k. koskinen
  • 6 篇 changshui zhang
  • 6 篇 xiang cheng
  • 6 篇 zhang junping
  • 6 篇 yang tao
  • 6 篇 weiming hu

语言

  • 356 篇 英文
  • 21 篇 其他
  • 6 篇 中文
检索条件"机构=Laboratory of Information and Computer Systems in Automation"
383 条 记 录,以下是81-90 订阅
排序:
A Battery Capacity Prediction Method Applying to On-Service Vehicles Using Charging Data and Decomposition Framework
SSRN
收藏 引用
SSRN 2024年
作者: Zhao, Xinwei Liu, Yonggui Xiao, Bin Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou510641 China School of Computer Science and Technology Guangdong University of Technology Guangzhou510006 China Information Engineering School Guangzhou Vocational College of Technology & Business Guangzhou511442 China
Lithium-ion batteries are valuable as the primary power source for electric vehicles (EVs). However, their capacity degradation and reliability directly affect driving of on-service EVs, accurately forecasting battery... 详细信息
来源: 评论
Barrier Offset Varying-Parameter Dynamic Learning Network for Solving Dual-Arms Human-Like Behavior Generation
收藏 引用
IEEE Transactions on Cognitive and Developmental systems 2025年
作者: Zhang, Zhijun Zhang, Mingyang Guo, Jinjia He, Haotian School of Automation Science and Engineering South China University of Technology Guangzhou510640 China Key Library of Autonomous Systems and Network Control Ministry of Education China Jiangxi Thousand Talents Plan Nanchang University Nanchang330031 China Guangzhou510335 China Shaanxi Provincial Key Laboratory of Industrial Automation School of Mechanical Engineering Shanxi University of Technology Hanzhong723001 China School of Information Science and Engineering Changsha Normal University Changsha410100 China School of Automation Science and Engineering Institute of Artificial Intelligence and Automation Guangdong University of Petrochemical Technology Maoming525000 China School of Computer Science and Engineering Jishou University Jishou416000 China
Enabling robots to imitate human actions and perform tasks with high precision while avoiding potential obstacles in the environment can effectively enhance the interaction between social robots and humans. In this pa... 详细信息
来源: 评论
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects
arXiv
收藏 引用
arXiv 2024年
作者: Jiang, Xiaoheng Yan, Feng Lu, Yang Wang, Ke Guo, Shuai Zhang, Tianzhu Pang, Yanwei Niu, Jianwei Xu, Mingliang The School of Computer and Artificial Intelligence Zhengzhou University Engineering Research Center of Intelligent Swarm Systems Ministry of Education National Supercomputing Center in Zhengzhou Zhengzhou450001 China The School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou450001 China The School of Information Science and Technology University of Science and Technology of China Hefei230026 China The School of Electrical Automation and Information Engineering Tianjin University Tianjin300072 China The State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China Hangzhou Innovation Institute of Beihang University Hangzhou310051 China
Surface defect inspection plays an important role in the process of industrial manufacture and production. Though Convolutional Neural Network (CNN) based defect inspection methods have made huge leaps, they still con... 详细信息
来源: 评论
Design and Implementation of a Two-Limbed 3T1R Haptic Device
Design and Implementation of a Two-Limbed 3T1R Haptic Device
收藏 引用
IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Long Kang Yang Yang Byung-Ju Yi PCA Lab Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Xi'an Modern Control Technology Research Institute Xi'an China School of Automation Nanjing University of Information Science and Technology Nanjing China Department of the Electronic Systems Engineering Hanyang University Ansan South Korea
This paper presents a haptic device with a simple architecture of only two limbs that can provide translational motion in three degrees of freedom (DOF) and one-DOF rotational motion. Actuation redundancy eliminates a...
来源: 评论
Detection of Detonators in Baggage Using Deep CNN Architecture: A Comparative Study of Contrast Enhancement and Feature Extraction Methods
Detection of Detonators in Baggage Using Deep CNN Architectu...
收藏 引用
International Conference on Image and Signal Processing and their Applications (ISPA)
作者: Oulhissane Lynda Merah Mostefa Simona Moldovanu Luminita Moraru Laboratory of Signals and Systems LSS Faculty of Science and Technology Abdelhamid Ibn Badis University Mostaganem Algeria MSlab Department of Computer Science and Information Technology Modelling & Simulation Laboratory Faculty of Automation Computers Electrical Engineering and Electronics Dunarea de Jos University of Galati Galati Romania MSlab Department of Chemistry Physics & Environment Modelling & Simulation Laboratory Faculty of Sciences and Environment Dunarea de Jos University of Galati Galati Romania
Visual inspection of dual-energy X-ray radiographic images of cabin baggage requires high performance, but is hindered by various challenges such as low target prevalence, variability in target visibility, possible pr... 详细信息
来源: 评论
GSLB: the graph structure learning benchmark  23
GSLB: the graph structure learning benchmark
收藏 引用
Proceedings of the 37th International Conference on Neural information Processing systems
作者: Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu Dingshuo Chen Yingtao Luo Xiangxin Zhou Qiang Liu Shu Wu Jeffrey Xu Yu Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Center for Research on Intelligent Perception and Computing State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and School of Artificial Intelligence University of Chinese Academy of Sciences and Department of Automation University of Science and Technology of China Department of Automation University of Science and Technology of China School of Cyberspace Security Beijing University of Posts and Telecommunications Department of Computer Science University of California Los Angeles Center for Research on Intelligent Perception and Computing State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and School of Artificial Intelligence University of Chinese Academy of Sciences Heinz College of Information Systems and Public Policy Machine Learning Department School of Computer Science Carnegie Mellon University
Graph Structure Learning (GSL) has recently garnered considerable attention due to its ability to optimize both the parameters of Graph Neural Networks (GNNs) and the computation graph structure simultaneously. Despit...
来源: 评论
Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm
收藏 引用
Complex System Modeling and Simulation 2021年 第3期1卷 198-217页
作者: Xue Han Yuyan Han Qingda Chen Junqing Li Hongyan Sang Yiping Liu Quanke Pan Yusuke Nojima the School of Computer Science Liaocheng UniversityLiaocheng 252000China the State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China the School of Information Science and Engineering Shandong Normal UniversityJinan 252000China the College of Computer Science and Electronic Engineering Hunan UniversityChangsha 410082China the School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200072China the Department of Computer Science and Intelligent Systems Osaka Prefecture UniversityOsaka 599-8531Japan
To meet the multi-cooperation production demand of enterprises,the distributed permutation flow shop scheduling problem(DPFSP)has become the frontier research in the field of manufacturing *** this paper,we investigat... 详细信息
来源: 评论
Advances in Embodied Navigation Using Large Language Models: A Survey
arXiv
收藏 引用
arXiv 2023年
作者: Lin, Jinzhou Gao, Han Feng, Xuxiang Xu, Rongtao Wang, Changwei Zhang, Man Guo, Li Xu, Shibiao School of Artificial Intelligence Beijing University of Posts and Telecommunications China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China Aerospace Information Research Institute Chinese Academy of Science China Qilu University of Technology Shandong Academy of Sciences China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science China
In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potential in a variety of practical applicati... 详细信息
来源: 评论
Generalization Boosted Adapter for Open-Vocabulary Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Xu, Wenhao Wang, Changwei Feng, Xuxiang Xu, Rongtao Huang, Longzhao Zhang, Zherui Guo, Li Xu, Shibiao School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan250013 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China The Aerospace Information Research Institute Chinese Academy of Sciences China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China
Vision-language models (VLMs) have demonstrated remarkable open-vocabulary object recognition capabilities, motivating their adaptation for dense prediction tasks like segmentation. However, directly applying VLMs to ... 详细信息
来源: 评论
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
arXiv
收藏 引用
arXiv 2024年
作者: Du, Hongyang Liu, Guangyuan Lin, Yijing Niyato, Dusit Kang, Jiawen Xiong, Zehui Kim, Dong In The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of
Optimizing various wireless user tasks poses a significant challenge for networking systems because of the expanding range of user requirements. Despite advancements in Deep Reinforcement Learning (DRL), the need for ... 详细信息
来源: 评论