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检索条件"机构=Computer Engineering and Networks Lab"
540 条 记 录,以下是251-260 订阅
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Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification
arXiv
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arXiv 2019年
作者: Luo, Yong Tao, Dacheng Xu, Chang Xu, Chao Liu, Hong Wen, Yonggang School of Electronics Engineering and Computer Science Peking University Beijing100871 China Centre for Quantum Computation and Intelligent Systems University of Technology Sydney Jones Street Ultimo SydneyNSW2007 Australia Engineering Lab on Intelligent Perception for Internet of Things Shenzhen Graduate School Peking University China Division of Networks and Distributed Systems School of Computer Engineering Nanyang Technological University Singapore Singapore
—In computer vision, image datasets used for classification are naturally associated with multiple labels and comprised of multiple views, because each image may contain several objects (e.g. pedestrian, bicycle and ... 详细信息
来源: 评论
A Trust Management Framework for Software Defined networks-based Internet of Things
A Trust Management Framework for Software Defined Networks-b...
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International Conference and Workshop on Computing and Communication (IEMCON)
作者: Svetlana Burikova JooYoung Lee Rasheed Hussain Iuliia Sharafitdinova Roman Dzheriev Fatima Hussain Salah Sharieh Alexander Ferworn Security and Network Engineering Innopolis University Innopolis Russia College of Engineering Australian National University Canberra Australia Networks and Blockchain Lab Innopolis University Innopolis Russia API Delivery and Operations Royal Bank of Canada Toronto Canada Department of Computer Science Ryerson University Toronto Canada
The proliferation of smart objects and their connectivity have contributed to the realization of the Internet of Things (IoT) paradigm, offering a plethora of applications and services in many sectors of our lives. Th... 详细信息
来源: 评论
A survey of gene selection and classification techniques based on cancer microarray data analysis  4
A survey of gene selection and classification techniques bas...
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4th IEEE International Conference on computer and Communications, ICCC 2018
作者: Zhang, Xinman He, Tingting Ouyang, Liwei Xu, Xuebin Chen, Sushing School of Electronics and Information Engineering MOE Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an China Guangdong xi'An Jiaotong University Academy Foshan China CISE Department for Computer Information Science Engineering University of Florida Systems Biology Lab Gainesville United States
A growing number of cancer deaths draws attractions in the areas of bioinformatics worldwide. It is worth noting that cancer microarray data is composed of tens of thousands of genes, but there are only a few dozens o... 详细信息
来源: 评论
Enjoy the untrusted cloud: A secure, scalable and efficient SQL-like query framework for outsourcing data
arXiv
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arXiv 2019年
作者: Chen, Yaxing Zheng, Qinghua Liu, Dan Yan, Zheng Sun, Wenhai Zhang, Ning Lou, Wenjing Thomas Hou, Y. School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an Shaanxi China State Key Lab on Integrated Services Networks School of Cyber Engineering Xidian University Xi'an Shaanxi China Department of Communications and Networking Aalto University Espoo Finland Department of Computer and Information Technology Purdue University West LafayetteIN United States Department of Computer Science and Engineering Washington University in St. Louis St. LouisMO United States Department of Computer Science Electrical and Computer Engineering Virginia Tech BlacksburgVA United States
While the security of cloud remains a concern, a common practice is to encrypt data before outsourcing them for utilization. One key challenging issue is how to efficiently perform queries over the ciphertext. Convent... 详细信息
来源: 评论
Intelligent Eco Networking (IEN) II: A Knowledge-Driven Future Internet Infrastructure for Value-Oriented Ecosystem
Intelligent Eco Networking (IEN) II: A Knowledge-Driven Futu...
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IEEE International Conference on Hot Information-Centric Networking (HotICN)
作者: Kai Lei Shuokang Huang Jiyue Huang Huafang Liu Jin Liu PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Shenzhen Key Lab for Information Centric Networking & Blockchain Technology (ICNLAB) School of Electronic and Computer Engineering (SECE) Peking University Shenzhen P.R. China
Intelligent Eco Networking (IEN) is intent on evolving the IP-based network architecture into a Knowledge-Driven Future Internet Infrastructure based on hierarchical heterogeneous networks composed of virtualized and ... 详细信息
来源: 评论
Data analytics for fog computing by distributed online learning with asynchronous update
arXiv
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arXiv 2019年
作者: Li, Guangxia Zhao, Peilin Lu, Xiao Liu, Jia Shen, Yulong Shaanxi Key Laboratory of Network and System Security Xidian University China State Key Laboratory of Integrated Service Networks Xidian University China School of Computer Science and Technology Xidian University China Tencent AI Lab Tencent Inc. China Department of Electrical and Computer Engineering University of Alberta Canada
—Fog computing extends the cloud computing paradigm by allocating substantial portions of computations and services towards the edge of a network, and is, therefore, particularly suitable for large-scale, geo-distrib... 详细信息
来源: 评论
Multiple residual dense networks for reconfigurable intelligent surfaces cascaded channel estimation
arXiv
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arXiv 2021年
作者: Jin, Yu Zhang, Jiayi Huang, Chongwen Yang, Liang Xiao, Huahua Ai, Bo Wang, Zhiqin The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Zhejiang Provincial Key Lab of Information Processing Communication and Networking Zhejiang University Hangzhou310007 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China ZTE Corporation State Key Laboratory of Mobile Network Mobile Multimedia Technology Shenzhen518057 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China China Academy of Information and Communications Technology Beijing100191 China
Reconfigurable intelligent surface (RIS) constitutes an essential and promising paradigm that relies programmable wireless environment and provides capability for space-intensive communications, due to the use of low-... 详细信息
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LPD communication: A sequential change-point detection perspective
arXiv
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arXiv 2019年
作者: Huang, Ke-Wen Wang, Hui-Ming Towsley, Don Vincent Poor, H. School of Electronics and Information Engineering Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an Shaanxi710049 China College of Information and Computer Sciences University of Massachusetts AmherstMA01002 United States Department of Electrical Engineering Princeton University PrincetonNJ08544 United States
In this paper, we establish a framework for low probability of detection (LPD) communication from a sequential change-point detection (SCPD) perspective, where a transmitter, Alice, wants to hide her signal transmissi... 详细信息
来源: 评论
HOMMO: A Hierarchical Flow Management Framework for Multi-Objective Data Center networks
HOMMO: A Hierarchical Flow Management Framework for Multi-Ob...
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IEEE Global Communications Conference
作者: Kai Lei Junlin Huang Yu Li Fan Zhang Hengky Susanto Bo Bai Gong Zhang Jin Liu Shenzhen Key Lab for Information Centric Networking & Blockchain Technology (ICNLAB) School of Electronic and Computer Engineering (SECE) Peking University Shenzhen China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Theory Lab 2012 Labs Huawei Technologies Co. Ltd. Hong Kong
In data center networks, flows with different objectives coexist and compete for limited resources. From the application-level perspective, it is hard to satisfy the demands of different flows without effective resour... 详细信息
来源: 评论
Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI
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Scientific reports 2025年 第1期15卷 19223页
作者: Khan Muhammad Adnan Taher M Ghazal Muhammad Saleem Muhammad Sajid Farooq Chan Yeob Yeun Munir Ahmad Sang-Woong Lee Pattern Recognition and Machine Learning Lab Faculty of Artificial Intelligence and Software Gachon University Seongnam-si 13557 Republic of Korea. Department of Networks and Cybersecurity Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman 19111 Jordan. Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab 140401 India. Department of Cyber Security NASTP Institute of Information Technology Lahore 58810 Pakistan. Center for Secure Cyber-Physical Systems (C2PS) Computer Science Department Khalifa University Abu Dhabi United Arab Emirates. chan.yeun@ku.ac.ae. University College Korea University Seoul 02841 Republic of Korea. Pattern Recognition and Machine Learning Lab Faculty of Artificial Intelligence and Software Gachon University Seongnam-si 13557 Republic of Korea. slee@gachon.ac.kr.
Brain Tumours are highly complex, particularly when it comes to their initial and accurate diagnosis, as this determines patient prognosis. Conventional methods rely on MRI and CT scans and employ generic machine lear... 详细信息
来源: 评论