咨询与建议

限定检索结果

文献类型

  • 441 篇 会议
  • 271 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 715 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 498 篇 工学
    • 300 篇 计算机科学与技术...
    • 216 篇 软件工程
    • 113 篇 信息与通信工程
    • 90 篇 控制科学与工程
    • 64 篇 电子科学与技术(可...
    • 51 篇 机械工程
    • 51 篇 电气工程
    • 45 篇 生物工程
    • 34 篇 交通运输工程
    • 23 篇 仪器科学与技术
    • 19 篇 化学工程与技术
    • 19 篇 生物医学工程(可授...
    • 19 篇 安全科学与工程
    • 16 篇 光学工程
    • 13 篇 网络空间安全
    • 12 篇 动力工程及工程热...
    • 11 篇 材料科学与工程(可...
  • 244 篇 理学
    • 158 篇 数学
    • 52 篇 生物学
    • 44 篇 系统科学
    • 34 篇 统计学(可授理学、...
    • 32 篇 物理学
    • 17 篇 化学
  • 138 篇 管理学
    • 87 篇 管理科学与工程(可...
    • 62 篇 图书情报与档案管...
    • 33 篇 工商管理
  • 25 篇 法学
    • 23 篇 社会学
  • 19 篇 医学
    • 15 篇 临床医学
    • 12 篇 基础医学(可授医学...
  • 10 篇 农学
  • 8 篇 经济学
    • 8 篇 应用经济学
  • 3 篇 文学
  • 1 篇 教育学
  • 1 篇 艺术学

主题

  • 27 篇 petri nets
  • 26 篇 feature extracti...
  • 18 篇 training
  • 16 篇 web services
  • 13 篇 data mining
  • 12 篇 optimization
  • 11 篇 educational inst...
  • 11 篇 algorithm design...
  • 11 篇 accuracy
  • 10 篇 support vector m...
  • 10 篇 roads
  • 9 篇 conferences
  • 9 篇 laboratories
  • 9 篇 graph neural net...
  • 9 篇 computational mo...
  • 9 篇 synchronization
  • 9 篇 mathematical mod...
  • 8 篇 throughput
  • 8 篇 vectors
  • 8 篇 schedules

机构

  • 120 篇 key laboratory o...
  • 86 篇 department of co...
  • 71 篇 the key laborato...
  • 55 篇 key laboratory o...
  • 31 篇 key laboratory o...
  • 30 篇 shenzhen city ke...
  • 17 篇 department of el...
  • 14 篇 department of co...
  • 14 篇 department of co...
  • 14 篇 shanghai artific...
  • 13 篇 the key laborato...
  • 12 篇 department of el...
  • 11 篇 college of compu...
  • 11 篇 key laboratory o...
  • 11 篇 school of softwa...
  • 10 篇 the key laborato...
  • 9 篇 ieee
  • 9 篇 key laboratory o...
  • 8 篇 institute of int...
  • 8 篇 college of infor...

作者

  • 36 篇 changjun jiang
  • 36 篇 jiang changjun
  • 32 篇 zhou mengchu
  • 24 篇 mengchu zhou
  • 21 篇 cheng wang
  • 21 篇 ji zhen
  • 20 篇 zhao junqiao
  • 19 篇 ding zhijun
  • 18 篇 ye chen
  • 17 篇 zhen ji
  • 17 篇 yan chungang
  • 17 篇 wang cheng
  • 16 篇 miao duoqian
  • 15 篇 wang hanli
  • 15 篇 yu hang
  • 15 篇 chungang yan
  • 13 篇 liu xiwei
  • 13 篇 li yan
  • 13 篇 fuqiang liu
  • 12 篇 xiwei liu

语言

  • 669 篇 英文
  • 32 篇 中文
  • 17 篇 其他
检索条件"机构=Key Laboratory of Embedded System and Service Computer"
715 条 记 录,以下是191-200 订阅
排序:
A hierarchical clustering strategy of processing class imbalance and its application in fraud detection  21
A hierarchical clustering strategy of processing class imbal...
收藏 引用
21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and systems, HPCC/SmartCity/DSS 2019
作者: Zhang, Youjun Liu, Guanjun Zheng, Lutao Yan, Chungang Key Laboratory of the Ministry of Education for Embedded System and Service Computing Shanghai Electronic Transactions and Information Service Collaborative Innovation Center Tongji University Shanghai China
With the Internet and mobile communications becoming an indispensable part of people's daily lives, online transactions have become one of the most common payment methods. However, transaction fraud incidents also... 详细信息
来源: 评论
An Automated Feature Engineering Method for Online Payment Fraud Detection
收藏 引用
Jisuanji Xuebao/Chinese Journal of computers 2020年 第10期43卷 1983-2001页
作者: Wang, Cheng Wang, Chang-Qi Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai201804 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China
Internet finance fraud is an increasingly serious social and economic problem. Online payment services (OPSs) are the typical models of Internet finance, and the fraudulent transaction in OPSs is also a typical fraud ... 详细信息
来源: 评论
Random Forest Parameter Optimization Method Based on Fireworks Algorithm  3
Random Forest Parameter Optimization Method Based on Firewor...
收藏 引用
3rd International Conference on E-Business, Information Management and computer Science, EBIMCS 2020
作者: Liang, Shurong Xie, Xiaolan Cheng, Xiaochun Tao, Xiaohua Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin University of Technology Guilin China Department of Computer Science Middlesex University LondonNW4 4BE United Kingdom College of Information Science and Engineering Guilin University of Technology Guilin China
The construction of a smart city needs to be supported by good machine learning methods, random forest is a kind of technology which has been widely applied in dealing with regression or classification problems. The d... 详细信息
来源: 评论
Detecting Data-flow Errors Based on Petri Nets With Data Operations
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2018年 第1期5卷 251-260页
作者: Dongming Xiang Guanjun Liu Chungang Yan Changjun Jiang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China IEEE
In order to guarantee the correctness of business processes, not only control-flow errors but also data-flow errors should be considered. The control-flow errors mainly focus on deadlock, livelock, soundness, and so o... 详细信息
来源: 评论
Non-intrusive load disaggregation using semi-supervised learning method
Non-intrusive load disaggregation using semi-supervised lear...
收藏 引用
2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
作者: Miao, Nan Zhao, Shengjie Shi, Qingjiang Zhang, Rongqing Tongji University Key Laboratory of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University Sch. of Software Eng. the Key Lab. of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University School of Software Engineering Shanghai China
With the emerging of smart metering around the world, there is a growing demand to analyse the residential energy usage. In this paper, we propose a Deep Neural Network (DNN)-based approach for non-intrusive load moni... 详细信息
来源: 评论
Low-rate non-intrusive appliance load monitoring based on graph signal processing
Low-rate non-intrusive appliance load monitoring based on gr...
收藏 引用
2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
作者: Zhang, Bing Zhao, Shengjie Shi, Qingjiang Zhang, Rongqing Tongji University Key Laboratory of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University Sch. of Software Eng. the Key Lab. of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University School of Software Engineering Shanghai China
Thanks to the large-scale smart meters deployments around the world, non-intrusive appliance load monitoring (NILM) is receiving popularity. It aims to disaggregate the total electricity load of a home into individual... 详细信息
来源: 评论
CSformer: Bridging Convolution and Transformer for Compressive Sensing
arXiv
收藏 引用
arXiv 2021年
作者: Ye, Dongjie Ni, Zhangkai Wang, Hanli Zhang, Jian Wang, Shiqi Kwong, Sam The Department of Computer Science City University of Hong Kong 999077 Hong Kong The Department of Computer Science & Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China The School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China The Peng Cheng Laboratory Shenzhen518052 China The City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China
Convolution neural networks (CNNs) have succeeded in compressive image sensing. However, due to the inductive bias of locality and weight sharing, the convolution operations demonstrate the intrinsic limitations in mo... 详细信息
来源: 评论
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network
arXiv
收藏 引用
arXiv 2022年
作者: Hu, Han Song, Weiwei Wang, Qun Hu, Rose Qingyang Zhu, Hongbo Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing210003 China Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China Department of Electrical and Computer Engineering Utah State University LoganUT United States
Mobile Edge Computing (MEC) has recently emerged as a promising technology in the 5G era. It is deemed an effective paradigm to support computation intensive and delay critical applications even at energy-constrained ... 详细信息
来源: 评论
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
arXiv
收藏 引用
arXiv 2024年
作者: Li, Jiajia Lammers, Kyle Yin, Xunyuan Yin, Xiang He, Long Lu, Renfu Li, Zhaojian Department of Electrical and Computer Engineering Michigan State University East LansingMI United States School of Chemical and Biomedical Engineering Nanyang Technological University Singapore Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China Department of Agricultural and Biological Engineering Pennsylvania State University United States United States Department of Agriculture Agricultural Research Service East LansingMI United States Department of Mechanical Engineering Michigan State University East LansingMI United States
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-based fruit detection has been recogniz... 详细信息
来源: 评论
Metafruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
SSRN
收藏 引用
SSRN 2024年
作者: Li, Jiajia Lammers, Kyle Yin, Xunyuan Yin, Xiang He, Long Lu, Renfu Li, Zhaojian Department of Electrical and Computer Engineering Michigan State University East LansingMI United States School of Chemical and Biomedical Engineering Nanyang Technological University Singapore Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China Department of Agricultural and Biological Engineering Pennsylvania State University United States United States Department of Agriculture Agricultural Research Service East LansingMI United States Department of Mechanical Engineering Michigan State University East LansingMI United States
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-based fruit detection has been recogniz... 详细信息
来源: 评论