咨询与建议

限定检索结果

文献类型

  • 459 篇 会议
  • 384 篇 期刊文献
  • 13 册 图书

馆藏范围

  • 856 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 519 篇 工学
    • 366 篇 计算机科学与技术...
    • 311 篇 软件工程
    • 130 篇 控制科学与工程
    • 113 篇 信息与通信工程
    • 65 篇 电气工程
    • 59 篇 机械工程
    • 53 篇 生物工程
    • 46 篇 电子科学与技术(可...
    • 38 篇 光学工程
    • 30 篇 生物医学工程(可授...
    • 25 篇 仪器科学与技术
    • 22 篇 动力工程及工程热...
    • 19 篇 化学工程与技术
    • 18 篇 安全科学与工程
    • 16 篇 土木工程
    • 16 篇 交通运输工程
    • 15 篇 建筑学
  • 281 篇 理学
    • 155 篇 数学
    • 68 篇 物理学
    • 59 篇 系统科学
    • 57 篇 生物学
    • 43 篇 统计学(可授理学、...
    • 25 篇 化学
  • 150 篇 管理学
    • 112 篇 管理科学与工程(可...
    • 51 篇 工商管理
    • 42 篇 图书情报与档案管...
  • 23 篇 医学
    • 19 篇 临床医学
    • 16 篇 基础医学(可授医学...
  • 19 篇 法学
    • 18 篇 社会学
  • 13 篇 经济学
    • 13 篇 应用经济学
  • 13 篇 农学
  • 7 篇 教育学
  • 2 篇 艺术学
  • 1 篇 文学
  • 1 篇 军事学

主题

  • 34 篇 automation
  • 19 篇 process control
  • 17 篇 laboratories
  • 17 篇 computational mo...
  • 16 篇 reinforcement le...
  • 15 篇 semantics
  • 14 篇 deep learning
  • 14 篇 control systems
  • 14 篇 blockchain
  • 14 篇 training
  • 13 篇 feature extracti...
  • 13 篇 artificial intel...
  • 12 篇 application soft...
  • 12 篇 machine learning
  • 12 篇 humans
  • 11 篇 computer science
  • 11 篇 neural networks
  • 11 篇 testing
  • 10 篇 quality of servi...
  • 10 篇 optimization

机构

  • 48 篇 the pillar of in...
  • 47 篇 the school of au...
  • 39 篇 the school of co...
  • 39 篇 school of automa...
  • 34 篇 school of comput...
  • 30 篇 pillar of inform...
  • 25 篇 department of au...
  • 20 篇 school of artifi...
  • 19 篇 state key labora...
  • 19 篇 state key labora...
  • 15 篇 the department o...
  • 13 篇 the department o...
  • 13 篇 institute of aut...
  • 12 篇 college of autom...
  • 9 篇 hubei key labora...
  • 9 篇 the department o...
  • 9 篇 the department o...
  • 9 篇 the state key la...
  • 8 篇 school of electr...
  • 8 篇 guangdong univer...

作者

  • 79 篇 kang jiawen
  • 77 篇 niyato dusit
  • 77 篇 xiong zehui
  • 47 篇 du hongyang
  • 24 篇 xu minrui
  • 24 篇 kim dong in
  • 23 篇 shen xuemin
  • 15 篇 mao shiwen
  • 14 篇 dusit niyato
  • 14 篇 zehui xiong
  • 13 篇 wang jiacheng
  • 13 篇 jiawen kang
  • 11 篇 jamalipour abbas
  • 10 篇 johansson karl h...
  • 10 篇 han zhu
  • 10 篇 kinshuk
  • 10 篇 fei-yue wang
  • 10 篇 zhang ruichen
  • 9 篇 liu yinqiu
  • 9 篇 gao feifei

语言

  • 818 篇 英文
  • 30 篇 其他
  • 9 篇 中文
检索条件"机构=Information and Computer Systems in Automation"
856 条 记 录,以下是261-270 订阅
排序:
Transfer Learning for Russian Handwriting Recognition
Transfer Learning for Russian Handwriting Recognition
收藏 引用
International Conference on Telecommunications and Signal Processing (TSP)
作者: Andrey Levkov Dmitry Kaplun Anastasiia Safonova Depart. of Computer Engineering St. Petersburg Electrotechnical University "LETI" St. Petersburg Russia Depart. of Automation and Control Processes St. Petersburg Electrotechnical University "LETI" St. Petersburg Russia Depart. of Information Systems St. Petersburg Electrotechnical University "LETI" St. Petersburg Russia
Handwriting recognition is one of the most important tasks in computer vision. Despite the variety of methods and algorithms used for text recognition in various languages, the recognition of handwritten Russian words...
来源: 评论
User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals
User Experience Evaluation in Virtual Reality based on Subje...
收藏 引用
2020 Engineering Reality of Virtual Reality Conference, ERVR 2020
作者: Niu, Yunfang Wang, Danli Wang, Ziwei Sun, Fan Yue, Kang Zheng, Nan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Computer and Information Technology Liaoning Normal University Dalian China
At present, the research on emotion in the virtual environment is limited to the subjective materials, and there are very few studies based on objective physiological signals. In this article, the authors conducted a ... 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
Structural reduction of CRNs with linear sub-CRNs
收藏 引用
IFAC-PapersOnLine 2021年 第14期54卷 149-154页
作者: Katalin M. Hangos György Lipták Gábor Szederkényi Systems and Control Laboratory Computer and Automation Research Institute P.O. Box 63 H-1518 Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary Faculty of Information Technology and Bionics Péter Pázmány Catholic University Budapest Hungary
A novel systems theory-based structural reduction method is proposed in this paper that can be applied to chemical reaction networks (CRNs) including subsystems consisting of linear reactions, i.e. a linear sub-CRN. T... 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
UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation
arXiv
收藏 引用
arXiv 2025年
作者: Shen, Yehui Zhang, Lei Li, Qingqiu Zhao, Xiongwei Wang, Yue Lu, Huimin Chen, Xieyuanli College of Intelligence Science and Technology National University of Defense Technology China Faculty of Robot Science and Engineering Northeastern University China School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University China SIASUN Robot& Automation Co. Ltd China School of Computer Science Fudan University China
Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environments. However, most existing VPR dat...
来源: 评论
Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement
Distributed Optimization with Finite Bit Adaptive Quantizati...
收藏 引用
IEEE Conference on Decision and Control
作者: Apostolos I. Rikos Wei Jiang Themistoklis Charalambous Karl H. Johansson Artificial Intelligence Thrust of the Information Hub The Hong Kong University of Science and Technology (Guangzhou) Guangzhou China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Clear Water Bay Hong Kong China Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Department of Electrical and Computer Engineering School of Engineering University of Cyprus Nicosia Cyprus Division of Decision and Control Systems KTH Royal Institute of Technology SE-100 44 Stockholm Sweden
In realistic distributed optimization scenarios, individual nodes possess only partial information and communicate over bandwidth constrained channels. For this reason, the development of efficient distributed algorit... 详细信息
来源: 评论
Lgtm: Local and Global Temporal Modeling in Spiking Neural Network
SSRN
收藏 引用
SSRN 2024年
作者: Xue, Dengfeng Li, Wenjuan Yuan, Chunfeng Liu, Haowei Liu, Wei Yang, Li Li, Bing Hu, Weiming Sun, Haoliang Li, Zhetao School of Computer Science and Technology Xidian University Shaanxi Xi’an710119 China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences 95 Zhongguancun East Road Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China National Computer Network Emergency Response Technical Team Coordination Center of China Beijing100029 China College of Information Science and Technology Jinan University Guangdong Guangzhou511436 China Xiangtan University China
Spiking neural networks (SNNs) have emerged as a promising energy-efficient alternative to convolutional neural networks owing to their spike-based computing. However, current SNNs do not fully leverage temporal infor... 详细信息
来源: 评论
Associative Learning Mechanism for Drug-Target Interaction Prediction
arXiv
收藏 引用
arXiv 2022年
作者: Zhu, Zhiqin Yao, Zheng Qi, Guanqiu Mazur, Neal Cong, Baisen College of Automation Chongqing University of Posts and Telecommunications Chongqing400065 China Computer Information Systems Department State University of New York at Buffalo State BuffaloNY14222 United States Diagnostics Co. Ltd. Danaher company China
As a necessary process in drug development, finding a drug compound that can selectively bind to a specific protein is highly challenging and costly. Drug-target affinity (DTA), which represents the strength of drug-t... 详细信息
来源: 评论
ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collision
ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collisi...
收藏 引用
IEEE International Conference on Industrial Informatics (INDIN)
作者: Weidong Zou Weipeng Cao Yuanqing Xia Bineng Zhong Dachuan Li School of Automation Beijing Institute of Technology Beijing China Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) Shenzhen China Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China
Deep neural networks (DNNs) are widely used in fields like computer vision and natural language processing. A key component of DNN training is the optimizer. SGD-Momentum is popular in many DNN methodologies, such as ... 详细信息
来源: 评论