咨询与建议

限定检索结果

文献类型

  • 137 篇 会议
  • 108 篇 期刊文献

馆藏范围

  • 245 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 166 篇 工学
    • 81 篇 计算机科学与技术...
    • 67 篇 软件工程
    • 35 篇 控制科学与工程
    • 20 篇 机械工程
    • 19 篇 信息与通信工程
    • 16 篇 电气工程
    • 15 篇 电子科学与技术(可...
    • 13 篇 动力工程及工程热...
    • 13 篇 建筑学
    • 11 篇 化学工程与技术
    • 10 篇 土木工程
    • 9 篇 交通运输工程
    • 9 篇 生物工程
    • 8 篇 航空宇航科学与技...
    • 7 篇 力学(可授工学、理...
    • 7 篇 材料科学与工程(可...
    • 6 篇 兵器科学与技术
    • 5 篇 环境科学与工程(可...
  • 109 篇 理学
    • 42 篇 数学
    • 38 篇 物理学
    • 21 篇 系统科学
    • 16 篇 统计学(可授理学、...
    • 13 篇 化学
    • 10 篇 生物学
  • 43 篇 管理学
    • 32 篇 管理科学与工程(可...
    • 13 篇 图书情报与档案管...
    • 11 篇 工商管理
  • 7 篇 医学
    • 7 篇 基础医学(可授医学...
    • 7 篇 临床医学
  • 7 篇 军事学
  • 4 篇 经济学
    • 4 篇 应用经济学
  • 2 篇 法学
  • 1 篇 艺术学

主题

  • 7 篇 system of system...
  • 4 篇 computational mo...
  • 4 篇 visualization
  • 4 篇 machine learning
  • 4 篇 mathematical mod...
  • 4 篇 adaptation model...
  • 3 篇 adaptive systems
  • 3 篇 semantics
  • 3 篇 genetic algorith...
  • 3 篇 augmented realit...
  • 3 篇 accelerometers
  • 3 篇 energy efficienc...
  • 2 篇 anderson localiz...
  • 2 篇 investment
  • 2 篇 cold atoms & mat...
  • 2 篇 human mobility a...
  • 2 篇 signal detection
  • 2 篇 inference engine...
  • 2 篇 deep learning
  • 2 篇 simulation

机构

  • 33 篇 science and tech...
  • 24 篇 school of comput...
  • 22 篇 key laboratory o...
  • 17 篇 science and tech...
  • 15 篇 key laboratory o...
  • 12 篇 school of inform...
  • 12 篇 science and tech...
  • 11 篇 national key lab...
  • 7 篇 key laboratory o...
  • 6 篇 jiangsu key labo...
  • 6 篇 national univers...
  • 5 篇 college of mecha...
  • 5 篇 jiangsu provinci...
  • 5 篇 department of ph...
  • 5 篇 national key lab...
  • 5 篇 key laboratory o...
  • 5 篇 science and tech...
  • 4 篇 department of ph...
  • 4 篇 school of scienc...
  • 4 篇 data security go...

作者

  • 17 篇 yu jun
  • 16 篇 wan jian
  • 10 篇 zhang jilin
  • 8 篇 zhang ying-chao
  • 8 篇 peiqing tong
  • 8 篇 yu zhou
  • 7 篇 tao dacheng
  • 7 篇 jiang congfeng
  • 6 篇 wei jicai
  • 6 篇 yu qin-zhang
  • 6 篇 zhang jing
  • 5 篇 zhou li
  • 5 篇 nguyen toan t.
  • 5 篇 wei li
  • 5 篇 tong peiqing
  • 5 篇 huang qingming
  • 5 篇 yu ting
  • 5 篇 yi shuanghui
  • 5 篇 fan tiantian
  • 5 篇 yuan cao

语言

  • 237 篇 英文
  • 7 篇 其他
  • 1 篇 中文
检索条件"机构=Science and Technology on Complex Simulation Land Systems Simulation Laboratory"
245 条 记 录,以下是101-110 订阅
Priority-Based Optimization of I/O Isolation for Hybrid Deployed Services  15th
Priority-Based Optimization of I/O Isolation for Hybrid Depl...
收藏 引用
15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019
作者: Zhang, Jiancheng Li, Youhuizi Zhou, Li Ren, Zujie Wan, Jian Wang, Yuan Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Zhejiang Lab Hangzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China Key Enterprise Research Institute of NetEase Big Data of Zhejiang Province Netease Hangzhou Network Co.Ltd Hangzhou China
With the increasing of software complexity and user demands, collaborative service is becoming more and more popular. Each service focuses on its own specialty, their cooperation can support complicated task with high... 详细信息
来源: 评论
An evaluation method for network communication syst em efficiency based on multi-source information fusion
An evaluation method for network communication syst em effic...
收藏 引用
第37届中国控制会议
作者: Cao Yuan Wang Yue-ping Tang Xue-mei Zhao Xiao-fang Science and Technology on Complex Land Systems Simulation Laboratory Beijing Institute of Spacecraft System Engineering
The number of experimental data obtained under different conditions is large, and there are some differences in the distribution characteristics of samples. If a large number of different types of data are mixed and t... 详细信息
来源: 评论
A unified CPM framework using the least-squares generalized finite difference method for surface PDEs
收藏 引用
Engineering with Computers 2025年
作者: Tang, Zhuochao Fu, Zhuojia Chen, Meng Ling, Leevan School of Management Science and Engineering Anhui University of Technology Maanshan243002 China Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes Maanshan243002 China Center for Numerical Simulation Software in Engineering and Sciences College of Mechanics and Materials Hohai University Nanjing211100 China Department of Mathematics Nanchang University Nanchang China Institute of Mathematics and Interdisciplinary Sciences Nanchang University Nanchang China Xinjiang Vocational and Technical University of Tianshan Kizilsu Kirgiz Autonomous Prefecture Nanchang China Department of Mathematics Hong Kong Baptist University Kowloon Tong Hong Kong
This paper introduces a novel framework, the unified closest point method (CPM) using the least-squares generalized finite difference method (LS-GFDM), to solve the surface partial differential equations (PDEs). Our a... 详细信息
来源: 评论
Power Characterization of Memory Intensive Applications: Analysis and Implications  1st
Power Characterization of Memory Intensive Applications: Ana...
收藏 引用
1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018
作者: Qiu, Yeliang Jiang, Congfeng Fan, Tiantian Wang, Yumei Zhang, Liangbin Wan, Jian Shi, Weisong Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou310037 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310037 China College of Big Data and Software Engineering Zhejiang Wanli University Ningbo China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China Department of Computer Science Wayne State University DetroitMI48202 United States
DRAM is a significant source of server power consumption especially when the server runs memory intensive applications. Current power aware scheduling assumes that DRAM is as energy proportional as other components. H... 详细信息
来源: 评论
Scalability Evaluation of Big Data Processing Services in Clouds  1st
Scalability Evaluation of Big Data Processing Services in Cl...
收藏 引用
1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018
作者: Zhou, Xin Jiang, Congfeng Qiu, Yeliang Fan, Tiantian Wang, Yumei Zhang, Liangbin Wan, Jian Shi, Weisong Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou310037 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310037 China College of Big Data and Software Engineering Zhejiang Wanli University Ningbo China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China Department of Computer Science Wayne State University DetroitMI48202 United States
Currently, many cloud providers deploy their big data processing systems as cloud services, which helps users conveniently manage and process their data in clouds. Among different service providers’ big data processi... 详细信息
来源: 评论
Deep Modular Co-Attention Networks for Visual Question Answering
Deep Modular Co-Attention Networks for Visual Question Answe...
收藏 引用
IEEE/CVF Conference on Computer Vision and Pattern Recognition
作者: Zhou Yu Jun Yu Yuhao Cui Dacheng Tao Qi Tian Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University UBTECH Sydney AI Centre School of Computer Science FEIT University of Sydney Noah's Ark Lab
Visual Question Answering (VQA) requires a finegrained and simultaneous understanding of both the visual content of images and the textual content of questions. Therefore, designing an effective 'co-attention'... 详细信息
来源: 评论
HiKeyb: High-Efficiency Mixed Reality System for Text Entry
HiKeyb: High-Efficiency Mixed Reality System for Text Entry
收藏 引用
IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW)
作者: Haiyan Jiang Dongdong Weng Zhenliang Zhang Yihua Bao Yufei Jia Mengman Nie Beijing Institute of Technology AICFVE of Beijing Film Academy Science and Technology on Complex Land Systems Simulation Laboratory
Text entry is an imperative issue to be addressed in current entry systems for virtual environments (VEs). The entry method using a physical keyboard is still the most dominant choice for an efficient interaction rega... 详细信息
来源: 评论
A Trend Prediction Method for Failures Time Series Data by Exploring Singular Spectrum Analysis and Support Vector Machines Regression
A Trend Prediction Method for Failures Time Series Data by E...
收藏 引用
作者: Wang Xin Liu Xingke Wu Jiantao Sang Yun Li Ying Wang Tingshu Science and Technology on Complex Aviation Systems Simulation Laboratory East China Institute of Computing Technology China Electronics Technology Group Corporation Unit 93658 of People's Liberation Army International School Beijing University of Posts and Telecommunications
Recently, reliability prediction problems have been sufficiently studied by applying various failures time series prediction models. However, these models' performance could easily reach the bottleneck on account ... 详细信息
来源: 评论
Mass- and energy-preserving exponential Runge-Kutta methods for the nonlinear Schrödinger equation
arXiv
收藏 引用
arXiv 2020年
作者: Cui, Jin Xu, Zhuangzhi Wang, Yushun Jiang, Chaolong Department of Basic Sciences Nanjing Vocational College of Information Technology Nanjing210023 China Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems School of Mathematical Sciences Nanjing Normal University Nanjing210023 China Department of Mathematics College of Liberal Arts and Science National University of Defense Technology Changsha410073 China School of Statistics and Mathematics Yunnan University of Finance and Economics Kunming650221 China
In this paper, a family of arbitrarily high-order structure-preserving exponential Runge-Kutta methods is developed for the nonlinear Schrödinger equation by combing the scalar auxiliary variable approach and the... 详细信息
来源: 评论
On exploring undetermined relationships for visual relationship detection
arXiv
收藏 引用
arXiv 2019年
作者: Zhan, Yibing Yu, Jun Yu, Ting Tao, Dacheng Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University China UBTECH Sydney AI Centre School of Computer Science FEIT University of Sydney DarlingtonNSW2008 Australia
In visual relationship detection, human-notated relationships can be regarded as determinate relationships. However, there are still large amount of unlabeled data, such as object pairs with less significant relations... 详细信息
来源: 评论