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检索条件"主题词=Autoencoder"
4206 条 记 录,以下是161-170 订阅
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Spectral-spatial classification of hyperspectral data with mutual information based segmented stacked autoencoder approach
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2018年 138卷 265-280页
作者: Paul, Subir Kumar, D. Nagesh Indian Inst Sci Dept Civil Engn Bengaluru 560012 India Indian Inst Sci Ctr Earth Sci Bengaluru 560012 India Indian Inst Sci Interdisciplinary Ctr Water Res Bengaluru 560012 India
Hyperspectral (HS) data comprises of continuous spectral responses of hundreds of narrow spectral bands with very fine spectral resolution or bandwidth, which offer feature identification and classification with high ... 详细信息
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Encoder-X: Solving Unknown Coefficients Automatically in Polynomial Fitting by Using an autoencoder
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022年 第8期33卷 3264-3276页
作者: Wang, Guojun Li, Weijun Zhang, Liping Sun, Linjun Chen, Peng Yu, Lina Ning, Xin Chinese Acad Sci Inst Semicond Beijing 100083 Peoples R China Univ Chinese Acad Sci Sch Microelect Ctr Mat Sci & Optoelect Engn Beijing 100049 Peoples R China Beijing Key Lab Semicond Neural Network Intellige Beijing 100083 Peoples R China Shenzhen DAPU Microelect Co Ltd Shenzhen 518100 Peoples R China
Modeling, prediction, and recognition tasks depend on the proper representation of the objective curves and surfaces. Polynomial functions have been proved to be a powerful tool for representing curves and surfaces. U... 详细信息
来源: 评论
Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2022年 第5期36卷 1255-1276页
作者: Abirami, S. Chitra, P. Thiagarajar Coll Engn Dept Comp Sci Engn Madurai 625015 Tamil Nadu India
Accurate forecasting of air pollutant PM2.5(particulate matter with diameter less than 2.5 mu m) is beneficial to society. However, the non-linear spatio-temporal correlations, multi-feasible forecast values and incom... 详细信息
来源: 评论
A Secure Intrusion Detection System in Cyberphysical Systems Using a Parameter-Tuned Deep-Stacked autoencoder
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Computers, Materials & Continua 2021年 第9期68卷 3915-3929页
作者: Nojood O.Aljehane College of Computer Science and Information Technology University of TabukTabukSaudi Arabia
Cyber physical systems(CPSs)are a networked system of cyber(computation,communication)and physical(sensors,actuators)elements that interact in a feedback loop with the assistance of human ***,CPSs authorize critical i... 详细信息
来源: 评论
Seismic damage identification by graph convolutional autoencoder using adjacency matrix based on structural modes
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EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS 2024年 第2期53卷 815-837页
作者: Kim, Minkyu Song, Junho Seoul Natl Univ Dept Civil & Environm Engn Seoul South Korea
Immediate post-earthquake identification of structural damage is essential to prevent the loss of structural functionality and system failure. Vibration-based damage identification methods have been widely implemented... 详细信息
来源: 评论
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation
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NEUROCOMPUTING 2018年 312卷 310-323页
作者: Feng, Siwei Duarte, Marco F. Univ Massachusetts Dept Elect & Comp Engn Amherst MA 01003 USA
Feature selection is a dimensionality reduction technique that selects a subset of representative features from high-dimensional data by eliminating irrelevant and redundant features. Recently, feature selection combi... 详细信息
来源: 评论
LSTMED: An uneven dynamic process monitoring method based on LSTM and autoencoder neural network
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NEURAL NETWORKS 2023年 158卷 30-41页
作者: Deng, Wenfeng Li, Yuxuan Huang, Keke Wu, Dehao Yang, Chunhua Gui, Weihua Cent South Univ Sch Automat Changsha 410083 Peoples R China
Due to the complicated production mechanism in multivariate industrial processes, different dynamic features of variables raise challenges to traditional data-driven process monitoring methods which assume the process... 详细信息
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Person identification using autoencoder-CNN approach with multitask-based EEG biometric
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MULTIMEDIA TOOLS AND APPLICATIONS 2024年 第35期83卷 83205页
作者: Bandana Das, Banee Kumar Ram, Saswat Sathya Babu, Korra Mohapatra, Ramesh Kumar Mohanty, Saraju P. SRM Univ Comp Sci & Engn Amravati Andhra Pradesh India SRM Univ Dept Elect & Commun Engn Amravati Andhra Pradesh India IIITDM Comp Sci Engn Kurnool India Natl Inst Technol Rourkela Comp Sci & Engn Rourkela India Univ North Texas Comp Sci & Engn Denton TX USA
In this research paper, we propose an unsupervised framework for feature learning based on an autoencoder to learn sparse feature representations for EEG-based person identification. autoencoder and CNN do the person ... 详细信息
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Distributed denial of service attack detection using autoencoder and deep neural networks
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年 第3期37卷 3969-3979页
作者: Catak, Ferhat Ozgur Mustacoglu, Ahmet Fatih TUBITAK BILGEM Cyber Secur Inst TR-41400 Kocaeli Turkey Istanbul Sehir Univ Cyber Secur Engn Istanbul Turkey
Today, many companies are faced with the huge network traffics mainly consisting of the various type of network attacks due to the increased usage of the botnet, fuzzier, shellcode or network related vulnerabilities. ... 详细信息
来源: 评论
User-Centric Online Gossip Training for autoencoder-Based CSI Feedback
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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2022年 第3期16卷 559-572页
作者: Guo, Jiajia Zuo, Yiping Wen, Chao-Kai Jin, Shi Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Natl Sun Yat Sen Univ Inst Commun Engn Kaohsiung 80424 Taiwan
Recently, the autoencoder framework has shown great potential in reducing the feedback overhead of the downlink channel state information (CSI). In this work, we further find that the user equipment in practical syste... 详细信息
来源: 评论