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检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"
8114 条 记 录,以下是171-180 订阅
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An Improved Privacy-Preserving Multi-factor Authentication Protocol for Wireless sensor networks  1
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5th international conference on Data and Information Sciences, ICDIS 2023
作者: Kanwar, Shaurya Prajapat, Sunil Gautam, Deepika Kumar, Pankaj Dharamshala176215 India
Wireless sensor networks (WSNs) have garnered significant attention for their ability to collect and transmit data in various applications. However, ensuring secure communication in WSNs poses significant challenges d... 详细信息
来源: 评论
An Energy Efficient Clustering for Underwater Acoustic sensor networks using 6G Technology  5
An Energy Efficient Clustering for Underwater Acoustic Senso...
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5th IEEE international conference on Recent Trends in Computer Science and Technology, ICRTCST 2024
作者: Siddiqui, Shams Tabrez Hashmi, Syed Ghyasuddin Ali, Mohammed Maqsood Syed, Ziauddin Qidwai, Khalid Ali Salim, Abu Jazan University College of Engineering and Computer Science Department of Computer Science Jazan Saudi Arabia Applied College Jazan University Department of Business Administration Jazan Saudi Arabia
these underwater Acoustic sensor networks (UWSNs) present unique challenges due to the harsh and dynamic underwater environment, making efficient communication protocols essential for their operation. this paper intro... 详细信息
来源: 评论
Study on the application of transfer learning in small sample image classification of military equipment  5
Study on the application of transfer learning in small sampl...
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5th international conference on Signal processing and Computer Science, SPCS 2024
作者: Lu, Leiji Yu, Hongxia Xiao, Hongju Bao, Lei Department of Information Engineering Army Academy of Artillery and Air Defense Hefei China
To address the issue of insufficient military equipment sample data, which cannot meet the training requirements of deep neural networks and tends to cause overfitting, this paper introduces transfer learning technolo... 详细信息
来源: 评论
Image Generation Using AI with Effective Audio Playback System  5
Image Generation Using AI with Effective Audio Playback Syst...
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5th IEEE international conference for Emerging Technology, INCET 2024
作者: Inbavalli, A. Sakthidhasan, K. Krishna, G. IFET College of Engineering Tamilnadu Villupuram India Department of CSE IFET College of Engineering Tamilnadu Villupuram India
this paper presents an innovative approach to image generation and audio playback through the fusion of deep convolutional neural networks (CNNs) and natural language processing. We propose a system that generates tex... 详细信息
来源: 评论
On Distributed Simulation Modeling of Large Scale networks  5
On Distributed Simulation Modeling of Large Scale Networks
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5th international Science and Technology conference Modern Network Technologies, MoNeTec 2024
作者: Tyushev, M.V. Smelyanskii, R.L. Moscow State University Faculty of Computational Mathematics and Cybernetics Moscow Russia
this paper addresses the challenges in distributed simulation modeling of large-scale networks (LSIM - consist of hundreds of thousands of nodes). the focus is on the efficient mapping of LSIM onto a distributed simul... 详细信息
来源: 评论
Chinese Text Error Correction Based on PE-T5 Model  24
Chinese Text Error Correction Based on PE-T5 Model
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5th international conference on Computing, networks and Internet of things (CNIOT)
作者: Deng, Hua Xu, Kang Li, Rongsheng Qi, Yifei State Grid Yantai Power Supply Co Yantai Peoples R China State Grid Shandong Elect Power Co Jinan Peoples R China
Chinese text error correction is to automatically detect errors or inappropriate expressions in a given Chinese text and output correct correction results according to the context and application scenarios. Existing r... 详细信息
来源: 评论
Human Activity Recognition Based on Neural networks and Accelerators  5
Human Activity Recognition Based on Neural Networks and Acce...
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5th international conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024
作者: Hu, Xinrui Dalian Minzu University Dalian China
this study aims to recognise accelerometer-based human activities using ANN models. We used the UCI-HAR dataset, which is a widely used publicly available dataset containing accelerometer data for six daily activities... 详细信息
来源: 评论
G-SwinJSCC: Combining Transformer and GCN for Wireless Image Transmission  5
G-SwinJSCC: Combining Transformer and GCN for Wireless Image...
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5th international conference on Electronic Communication and Artificial Intelligence, ICECAI 2024
作者: Qi, Kechao Chen, Guolong Jia, Yun Zhang, Tianxiang School of Information and Electronic Engineering Shandong Technology and Business University Yantai China
In this paper, we have designed a more efficient visual transformer G-SwinJSCC, for semantic image transmission. Compared to most methods that rely solely on Convolutional Neural networks (CNN), we utilize a combinati... 详细信息
来源: 评论
Design and Development of Hybrid Hierarchical Routing Protocol for Wireless sensor networks  5
Design and Development of Hybrid Hierarchical Routing Protoc...
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5th international conference on Circuits, Control, Communication and Computing, I4C 2024
作者: Raghunandan, G.H. Patil, Tarun Sri Srujan Hari, T. Bms Institute of Technology & Management Department of Electronics and Communication Engineering Bengaluru India
Primarily employed to achieve this objective, wireless sensor networks (WSNs) are designed to track environmental or physical conditions. they obtain data from their environment efficiently and deliver it all at once ... 详细信息
来源: 评论
Self-Supervised Graph Neural networks for Enhanced Feature Extraction in Heterogeneous Information networks  5
Self-Supervised Graph Neural Networks for Enhanced Feature E...
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5th international conference on Machine Learning and Computer Application, ICMLCA 2024
作者: Wei, Jianjun Liu, Yue Huang, Xin Zhang, Xin Liu, Wenyi Yan, Xu Washington University in St. Louis St Louis United States Fordham University New York United States University of Virginia Charlottesville United States Seattle United States Nanjing China Trine University Phoenix United States
this paper explores the applications and challenges of graph neural networks (GNNs) in processing complex graph data brought about by the rapid development of the Internet. Given the heterogeneity and redundancy probl... 详细信息
来源: 评论