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检索条件"机构=Data Engineering and Network Technology Laboratory"
581 条 记 录,以下是491-500 订阅
排序:
ResfEANet: ResNet-fused External Attention network for Tuberculosis Diagnosis using Chest X-ray Images
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Computer Methods and Programs in Biomedicine Update 2024年 5卷
作者: Ejiyi, Chukwuebuka Joseph Qin, Zhen Nnani, Ann O Deng, Fuhu Ejiyi, Thomas Ugochukwu Ejiyi, Makuachukwu Bennedith Agbesi, Victor Kwaku Bamisile, Olusola Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu China College of Environmental Science and Engineering Hohai University Nanjing China Department of Pure and Industrial Chemistry University of Nigeria Nsukka Enugu Nigeria Pharmacy Department University of Nigeria Nsukka Enugu Nigeria School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Sichuan Industrial Internet Intelligent Monitoring and Application Engineering Technology Research Centre Chengdu University of Technology Chengdu China
Pulmonary tuberculosis (TB), the most prevalent form of TB, remains a major global public health concern, contributing to more than a million deaths each year. The accurate and timely diagnosis of this disease is of p... 详细信息
来源: 评论
DAMBLO: Improving Arrhythmia Classification with Plug-and-Play Dual Attention-Based Multiscale Feature Learning Block
SSRN
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SSRN 2023年
作者: Zhuang, Tianming Qin, Zhiguang You, Li Deng, Erqiang Ding, Yi Cao, Mingsheng Guo, Yingkun Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Sichuan Chengdu610054 China Department of Molecular Genetics Erasmus University Medical Center Rotterdam Netherlands Department of Radiology Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects Ministry of Education West China Second University Hospital Sichuan University Sichuan Chengdu610072 China School of Information and Software Engineering University of Electronic Science and Technology of China Sichuan Chengdu610054 China
The electrocardiogram diagnosis played an important role in early arrhythmia prevention and cardiovascular disease detection. How to analysis and detect the electrocardiogram automatically becomes a challenging task i... 详细信息
来源: 评论
An Auto-Parallel Method for Deep Learning Models Based on Genetic Algorithm
An Auto-Parallel Method for Deep Learning Models Based on Ge...
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International Conference on Parallel and Distributed Systems (ICPADS)
作者: Yan Zeng ChengChuang Huang YiJie Ni ChunBao Zhou JiLin Zhang Jue Wang MingYao Zhou MeiTing Xue YunQuan Zhang School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory for Modeling and Simulation of Complex Systems Ministry of Education Hangzhou China Data Security Governance Zhejiang Engineering Research Center Hangzhou China School of ITMO Joint Institute Hangzhou Dianzi University Hangzhou China Institute of Computer Network Information Center of the Chinese Academy of Sciences Beijing China HuaWei State Key Laboratory of Computer Architecture Institute of Computing Technology of the Chinese Academy of Sciences Beijing China
As the size of datasets and neural network models increases, automatic parallelization methods for models have become a research hotspot in recent years. The existing auto-parallel methods based on machine learning or...
来源: 评论
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
arXiv
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arXiv 2023年
作者: Han, Pengchao Shi, Xingyan Huang, Jianwei The School of Information Engineering Guangdong University of Technology Guangzhou510006 China The School of Data Science The Chinese University of Hong Kong Shenzhen China The School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network CSIJRI Joint Research Centre on Smart Energy Storage The Chinese University of Hong Kong Guangdong Shenzhen518172 China
Knowledge distillation (KD) can enable collaborative learning among distributed clients that have different model architectures and do not share their local data and model parameters with others. Each client updates i... 详细信息
来源: 评论
A unified adaptive recoding framework for Batched network coding
arXiv
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arXiv 2021年
作者: Yin, Hoover H.F. Tang, Bin Ng, Ka Hei Yang, Shenghao Wang, Xishi Zhou, Qiaoqiao The N-hop Technologies Limited Hong Kong The Institute of Network Coding The Chinese University of Hong Kong Hong Kong The School of Computer and Information Hohai University Nanjing China The Department of Physics The Chinese University of Hong Kong Hong Kong The School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology Shenzhen Research Institute of Big Data Shenzhen China The Department of Information Engineering The Chinese University of Hong Kong Hong Kong
Batched network coding is a variation of random linear network coding which has low computational and storage costs. In order to adapt to random fluctuations in the number of erasures in individual batches, it is not ... 详细信息
来源: 评论
Secondary Access Class Barring for Machine Type Communications with PUSCH Resource Constraints
Secondary Access Class Barring for Machine Type Communicatio...
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IEEE Conference on Vehicular technology (VTC)
作者: Yuxuan Wen Liu Yang Chaoyuan Bai Heng Liu Communication and Sensor Network for Modern Transportation International Cooperation Center(CSNMT) Southwest Jiaotong University Chengdu P.R.China Key Lab of Information Coding & Transmission Institude of Mobile Communication Southwest Jiaotong University Chengdu P.R.China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu P.R.China
With the continuous increase of IoT devices, multiple devices desire to use network resources simultaneously during peak hours and overload conditions, leading to collisions and a reduction in the network’s effective... 详细信息
来源: 评论
LMVD: A Large-Scale Multimodal Vlog dataset for Depression Detection in the Wild
arXiv
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arXiv 2024年
作者: He, Lang Chen, Kai Zhao, Junnan Wang, Yimeng Pei, Ercheng Chen, Haifeng Jiang, Jiewei Zhang, Shiqing Zhang, Jie Wang, Zhongmin He, Tao Tiwari, Prayag The School of Computer Science and Technology Xi’an University of Posts and Telecommunications Shaanxi Xi’an710121 China The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi’an710121 China The Xi’an Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi’an710121 China The School of Electronic Engineering Xi’an University of Posts and Telecommunications Xi’an710121 China The College of Electronic Information and Artificial Intelligence Shaanxi University of Science and Technology Xi’an710016 China The Institute of Intelligent Information Processing Taizhou University Zhejiang Taizhou318000 China The School of Education Shenzhen University Shenzhen518060 China The School of Information Technology Halmstad University Halmstad Sweden
Depression can significantly impact many aspects of an individual’s life, including their personal and social functioning, academic and work performance, and overall quality of life. Many researchers within the field... 详细信息
来源: 评论
How Does Knowledge Graph Embedding Extrapolate to Unseen data: A Semantic Evidence View
arXiv
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arXiv 2021年
作者: Li, Ren Cao, Yanan Zhu, Qiannan Bi, Guanqun Fang, Fang Liu, Yi Li, Qian Institute of Information Engineering Chinese Academy of Sciences China School of Cyber Security University of Chinese Academy of Sciences China Gaoling School of Artificial Intelligence Renmin University of China China Beijing Key Laboratory of Big Data Management and Analysis Methods China National Computer Network Emergency Response Technical Team Coordination Center of China China University of Technology Sydney Australia
Knowledge Graph Embedding (KGE) aims to learn representations for entities and relations. Most KGE models have gained great success, especially on extrapolation scenarios. Specifically, given an unseen triple (h, r, t... 详细信息
来源: 评论
Efficient Sensing Parameter Estimation with Direct Clutter Mitigation in Perceptive Mobile networks
arXiv
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arXiv 2024年
作者: Li, Hang Yang, Hongming Guo, Qinghua Zhang, J. Andrew Xiang, Yang Pang, Yashan The School of Electronics and Information Hangzhou Dianzi University Hangzhou310018 China The School of Electrical Computer and Telecommunications Engineering University of Wollongong WollongongNSW2522 Australia The Global Big Data Technologies Centre University of Technology Sydney UltimoNSW2007 Australia National Key Laboratory of Advanced Communication Networks Academy of Network & Communications of CETC Hebei Shijiazhuang050081 China
In this work, we investigate sensing parameter estimation in the presence of clutter in perceptive mobile networks (PMNs) that integrate radar sensing into mobile communications. Performing clutter suppression before ... 详细信息
来源: 评论
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI
Task-Oriented Sensing, Computation, and Communication Integr...
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IEEE International Conference on Communications (ICC)
作者: Dingzhu Wen Peixi Liu Guangxu Zhu Yuanming Shi Jie Xu Yonina C. Eldar Shuguang Cui School of Information Science and Technology ShanghaiTech University Shanghai China School of Electronics. Peking University Beijing China Shenzhen Research Institute of Big Data 'Shenzhen China School of Science and Engineering (SSE) the Future Network of Intelligence Institute (FNii) and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese University of Hong Kong Shenzhen China Weizmann Institute of Science Rehovot Israel Peng Cheng Laboratory Shenzhen China
This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly exploits the AI model split inference and integrated sensing and communication (ISAC) to enable low-latency intelligent serv...
来源: 评论