咨询与建议

限定检索结果

文献类型

  • 19 篇 期刊文献
  • 17 篇 会议

馆藏范围

  • 36 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 23 篇 工学
    • 16 篇 计算机科学与技术...
    • 14 篇 软件工程
    • 6 篇 机械工程
    • 4 篇 控制科学与工程
    • 3 篇 信息与通信工程
    • 2 篇 材料科学与工程(可...
    • 2 篇 电气工程
    • 2 篇 交通运输工程
    • 1 篇 力学(可授工学、理...
    • 1 篇 光学工程
    • 1 篇 电子科学与技术(可...
    • 1 篇 化学工程与技术
    • 1 篇 生物工程
    • 1 篇 网络空间安全
  • 11 篇 理学
    • 6 篇 数学
    • 3 篇 物理学
    • 2 篇 化学
    • 1 篇 生物学
    • 1 篇 系统科学
  • 6 篇 管理学
    • 4 篇 图书情报与档案管...
    • 2 篇 管理科学与工程(可...
    • 2 篇 工商管理
  • 2 篇 医学
    • 2 篇 临床医学
    • 2 篇 特种医学
    • 1 篇 基础医学(可授医学...
    • 1 篇 医学技术(可授医学...
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 法学
    • 1 篇 法学
  • 1 篇 军事学
    • 1 篇 军队指挥学

主题

  • 3 篇 humans
  • 2 篇 speech coding
  • 2 篇 information proc...
  • 1 篇 digital images
  • 1 篇 conferences
  • 1 篇 filters
  • 1 篇 knowledge engine...
  • 1 篇 semantic informa...
  • 1 篇 developmental br...
  • 1 篇 imaging
  • 1 篇 differential pow...
  • 1 篇 riemannian geome...
  • 1 篇 audio-visual sys...
  • 1 篇 malnutrition
  • 1 篇 data integration
  • 1 篇 gesture
  • 1 篇 instance segment...
  • 1 篇 reliability engi...
  • 1 篇 human computer i...
  • 1 篇 application soft...

机构

  • 6 篇 laboratory of hu...
  • 2 篇 school of electr...
  • 2 篇 huazhong agricul...
  • 2 篇 school of cyber ...
  • 1 篇 [o]research depa...
  • 1 篇 electrical engin...
  • 1 篇 national univers...
  • 1 篇 department of ne...
  • 1 篇 istituto italian...
  • 1 篇 university of sc...
  • 1 篇 school of chemis...
  • 1 篇 the commonwealth...
  • 1 篇 wuhan university...
  • 1 篇 school of materi...
  • 1 篇 digital media ar...
  • 1 篇 department of bi...
  • 1 篇 [f]hospital univ...
  • 1 篇 visual artificia...
  • 1 篇 national academy...
  • 1 篇 universitat autò...

作者

  • 5 篇 dai guo-zhong
  • 2 篇 tang jinshan
  • 2 篇 qin yan-yan
  • 2 篇 tong yan
  • 2 篇 wang xiao-chun
  • 2 篇 zhang fengjun
  • 2 篇 tian feng
  • 2 篇 dai guozhong
  • 2 篇 ren zhengwei
  • 2 篇 xu shiwei
  • 1 篇 qiao shao-jie
  • 1 篇 d. aydogan
  • 1 篇 c. fuller
  • 1 篇 gao huajian
  • 1 篇 z. zhao
  • 1 篇 yong-jin liu
  • 1 篇 zhu bowen
  • 1 篇 abidian mohammad...
  • 1 篇 han nan
  • 1 篇 d. zimmerer

语言

  • 25 篇 英文
  • 9 篇 中文
  • 2 篇 其他
检索条件"机构=Human Computer Interaction Technology and Intelligent Information Processing Laboratory"
36 条 记 录,以下是21-30 订阅
排序:
Domain model of pen-based user interface software and its usage
收藏 引用
Ruan Jian Xue Bao/Journal of Software 2006年 第1期17卷 69-78页
作者: Qin, Yan-Yan Tian, Feng Wang, Xiao-Chun Dai, Guo-Zhong Laboratory of Human-Computer Interaction and Intelligent Information Processing Institute of Software Chinese Academy of Sciences Beijing 100080 China
Pen-Based user interface software is widely applicable due to its natural and efficient interaction style, whose important characteristics are interaction-centered and individual by user-required. In order to map the ... 详细信息
来源: 评论
Editorial: Knowledge engineering, semantics, and signal processing in audio - visual information retrieval
收藏 引用
IEEE Transactions on Circuits and Systems for Video technology 2007年 第3期17卷 257-258页
作者: Izquierdo, Ebroul Zhang, Jian Sikora, Thomas Huang, Thomas S. Department of Electrical Engineering Queen Mary University of London London El 4NS United Kingdom Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Communication Systems Group Technical University Berlin Berlin Germany ITG University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Institute for Advanced Science and Technology United States Institute's Major Research Theme Human Computer Intelligent Interaction National Academy of Engineering Chinese Academies of Engineering and Sciences China International Association of Pattern Recognition Optical Society of American United States
No abstract available
来源: 评论
Natural human Skin‑Inspired Wearable and Breathable Nanofiber‑based Sensors with Excellent Thermal Management Functionality
收藏 引用
Advanced Fiber Materials 2024年 第6期6卷 1955-1968页
作者: Peng Wang Xiaodan Li Guifen Sun Guoqing Wang Qing Han Chuizhou Meng Zhonghe Wei Yang Li School of Mechanical Engineering University of JinanJinan 250022China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory for Reliability and Intelligence of Electrical Equipment Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection TechnologyHebei Key Laboratory of Smart Sensing and Human‑Robot InteractionSchool of Mechanical EngineeringHebei University of TechnologyTianjin 300401China Shandong Provincial Key Laboratory of Network‑Based Intelligent Computing School of Information Science and EngineeringUniversity of JinanJinan 250022China Network Information Center Department of Computer ScienceQilu University of Technology(Shandong Academy of Sciences)Jinan 250353China School of Integrated Circuits Shandong UniversityJinan 250101China
Wearable sensors have been rapidly developed for application in various human monitoring ***,the wearing comfort and thermal properties of these devices have been largely ignored,and these characteristics urgently nee... 详细信息
来源: 评论
Deep Learning Based Take-Over Performance Prediction and Its Application on intelligent Vehicles
IEEE Transactions on Intelligent Vehicles
收藏 引用
IEEE Transactions on intelligent Vehicles 2024年 1-15页
作者: Liu, Weimin Li, Qingkun Wang, Wenjun Wang, Zhenyuan Zeng, Chao Cheng, Bo State Key Laboratory of Automotive Safety and Energy Center for Intelligent Connected Vehicles and Transportation School of Vehicle and Mobility Tsinghua University Beijing China Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China College of Information Science and Engineering Henan University of Technology Zhengzhou China
Take-over performance plays a significant role in evaluating drivers' state, and serves as a crucial reference for enhancing control transitions in the context of conditionally automated driving. In this study, we... 详细信息
来源: 评论
A Scalable Deep Attention Mechanism of Instance Segmentation for the Investigation of Chromosome
收藏 引用
SLAS technology 2025年 100306页
作者: Neelam Umbreen Sara Ali Hasan Sajid Yasar Ayaz Shrooq Alsenan Yunyoung Nam So Yeon Kim Muhammad Baber Sial National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan Suzhou Industrial Park (SIP) Monash Research Institute of Science and Technology Monash University 8Q9C+R6W Suzhou Jiangsu China. School of Mechanical and Manufacturing Engineering (SMME) National University of Sciences and Technology (NUST) Islamabad NUST-COVENTRY Human-Robot Interaction (NC-HRI) Laboratory Pakistan Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: sarababer@smme.nust.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: hasan.sajid@smme.nust.edu.pk. Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: yasar@smme.nust.edu.pk. Information Systems Department College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia. Electronic address: shalsenan@pnu.edu.sa. Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang University Asan 31538 Korea. Electronic address: ynam@sch.ac.kr. Department of Artificial Intelligence Department of Software and Computer Engineering Ajou University. Electronic address: jebi1771@ajou.ac.kr. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Electronic address: babersial@***.
Chromosome segmentation in metaphase images is a critical yet challenging task in cytogenetics and genomics due to the inherent complexity, variability in chromosome shapes, and the scarcity of high-quality annotated ... 详细信息
来源: 评论
State-of-the-art of research on constructing 3D conceptual models based on gesture
收藏 引用
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of computer-Aided Design and computer Graphics 2005年 第7期17卷 1389-1394页
作者: Gong, Yingkui Mei, Zhongyi Fan, Yuqing Ma, Cuixia Dai, Guozhong School of Mechanical Engineering and Automation Beihang University Beijing 100083 China Laboratory of Human-Computer Interaction and Intelligent Information Processing Institute of Software Chinese Academy of Sciences Beijing 100080 China
The latest research developments at home and abroad on constructing 3D conceptual models based on gesture are summarized. The gesture-based human-computer interaction and its key technologies are also discussed. At la... 详细信息
来源: 评论
Limited Times of Data Access Based on SGX in Cloud Storage*
Limited Times of Data Access Based on SGX in Cloud Storage*
收藏 引用
IEEE International Conference on Systems, Man and Cybernetics
作者: Zhengwei Ren Xiaoshuang Chen Jinshan Tang Lina Wang Yan Tong Shiwei Xu School of Computer Science and Technology Wuhan University of Science and Technology and Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China College of Health and Human Services George Mason University Fairfax VA USA School of Cyber Science and Engineering Wuhan University Wuhan China Huazhong Agricultural University Wuhan China
It is straightforward to encrypt the outsourced data to protect its confidentiality using symmetric cryptography in cloud storage. How to control and restrict the use of the encryption key in data users’ devices beco... 详细信息
来源: 评论
Energy Efficiency Optimization for Full-Duplex D2D Communications Underlaying Distributed Antenna Systems
IEEE Transactions on Green Communications and Networking
收藏 引用
IEEE Transactions on Green Communications and Networking 2024年
作者: Liu, Zhan Liao, Zhiyuan Li, Chunquan Zhang, Zhijun Yu, Junzhi Liu, P.X. Hunan University of Humanities Science and Technology School of Information Loudi417000 China Nanchang University School of Information Engineering Nanchang330031 China Jiangxi Provincial Key Laboratory of Intelligent Systems and Human-Machine Interaction Nanchang330031 China South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada
In this paper, we investigate the total system energy efficiency (EE) of full-duplex (FD) device-to-device (D2D) communications underlaying distributed antenna systems (DAS), where remote access units (RAUs), D2D user... 详细信息
来源: 评论
Evidence-Aware Multi-Modal Data Fusion and its Application to Total Knee Replacement Prediction
Evidence-Aware Multi-Modal Data Fusion and its Application t...
收藏 引用
Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)
作者: Xinwen Liu Jing Wang S. Kevin Zhou Craig Engstrom Shekhar S. Chandra School of Electrical Engineering and Computer Science The University of Queensland Brisbane Australia The Commonwealth Scientific and Industrial Research Organisation Canberra Australia Center for Medical Imaging Robotics Analytic Computing & Learning (MIRACLE) School of Biomedical Engineering & Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China School of Human Movement and Nutrition Sciences The University of Queensland Brisbane Australia
Deep neural networks have been widely studied to predict a medical condition, such as total knee replacement (TKR). It has shown that data of different modalities, such as imaging data, clinical variables, and demogra... 详细信息
来源: 评论
QA-KGNet: A Language Model-Driven Knowledge Graph Question-Answering Model
收藏 引用
Ruan Jian Xue Bao/Journal of Software 2023年 第10期34卷
作者: Qiao, Shao-Jie Yang, Guo-Ping Yu, Yong Han, Nan Qin, Xiao Qu, Lu-Lu Ran, Li-Qiong Li, He School of Software Engineering Chengdu University of Information Technology Chengdu610225 China Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music Chengdu610021 China School of Management Chengdu University of Information Technology Chengdu610225 China Guangxi Key Lab of Human-machine Interaction and Intelligent Decision Nanning Normal University Nanning530100 China School of Computer Science and Technology XiDian University Xi’an710071 China
The question-answering system based on knowledge graphs can analyze user questions, and has become an effective way to retrieve relevant knowledge and automatically answer the given questions. The knowledge graph-base... 详细信息
来源: 评论