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检索条件"主题词=Stacked Denoising Autoencoder"
114 条 记 录,以下是1-10 订阅
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stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process
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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2019年 第1期35卷 204-223页
作者: Yu, Jianbo Zheng, Xiaoyun Wang, Shijin Tongji Univ Sch Mech Engn Shanghai 200082 Peoples R China Tongji Univ Sch Econ & Management Shanghai Peoples R China
In multivariate statistical process control (MSPC), regular multivariate control charts (eg, T-2) are shown to be effective in detecting out-of-control signals based upon an overall statistic. But these charts do not ... 详细信息
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stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing
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NEURAL COMPUTING & APPLICATIONS 2023年 第19期35卷 14259-14274页
作者: Dai, Penglin Luo, Jingtao Zhao, Kangli Xing, Huanlai Wu, Xiao Southwest Jiaotong Univ Sch Comp & Artificial Intelligence Chengdu 611756 Peoples R China Engn Res Ctr Sustainable Urban Intelligent Transpo Minist Educ Chengdu Peoples R China Southwest Jiaotong Univ Tangshan Inst Tangshan 063000 Peoples R China
Traffic sensing system requires to periodically collect spatial-temporal traffic data distributed among road networks, which results in overhigh bandwidth consumption and storage cost in a large-scale road network. Se... 详细信息
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stacked denoising autoencoder Enhanced Polar Codes Over Rayleigh Fading Channels
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IEEE WIRELESS COMMUNICATIONS LETTERS 2020年 第3期9卷 354-357页
作者: Li, Jianxiu Cheng, Wenchi Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China
Polar codes, with low encoding/decoding complexity and capacity-achieving potential, have drawn much attention recently. It is very critical to study the impact of fading on polar codes implementation into wireless co... 详细信息
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stacked denoising autoencoder With Density-Grid Based Clustering Method for Detecting Outlier of Wind Turbine Components
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IEEE ACCESS 2019年 7卷 13078-13091页
作者: Sun, Zexian Sun, Hexu Hebei Univ Technol Sch Articial Intelligence Tianjin 300401 Peoples R China
Different types of outliers have existed in the monitoring data of wind turbines, which are not conducive to the follow-up data mining. However, the complex inner characteristics of the monitoring data pose major chal... 详细信息
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stacked denoising autoencoder for infrared thermography image enhancement  19
Stacked denoising autoencoder for infrared thermography imag...
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IEEE 19th International Conference on Industrial Informatics (INDIN)
作者: Wei, Ziang Fernandes, Henrique Tarpani, Jose Ricardo Osman, Ahmad Maldague, Xavier Univ Appl Sci Saarbrucken Sch Engn Saarbrucken Germany Univ Fed Uberlandia Fac Comp Uberlandia MG Brazil Univ Sao Paulo Sao Carlos Sch Engn Sao Carlos Brazil Univ Appl Sci Saarbrucken Algorithms Signal & Data Proc Fraunhofer IZFP Inst Nondestruct Testing Sch Engn Saarbrucken Germany Univ Laval Dept Elect Engn & Comp Engn Quebec City PQ Canada
Pulsed thermography is one of the most popular thermography inspection methods. During an experiment of pulsed thermography, a specimen is quickly heated, and infrared images are captured to provide information about ... 详细信息
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stacked denoising autoencoder for Feature Representation Learning in Pose-Based Action Recognition  3
Stacked Denoising Autoencoder for Feature Representation Lea...
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3rd IEEE Global Conference on Consumer Electronics (GCCE)
作者: Budiman, Arif Fanany, Mohamad Ivan Basaruddin, Chan Univ Indonesia Fac Comp Sci Depok West Java Indonesia
In this paper, we studied stacked denoising Auto-encoder(SDA) model for Human pose-based action recognition. We used public dataset Chalearn 2013 which contains Italian body language actions from 27 persons. We studie... 详细信息
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stacked denoising autoencoder and Dropout Together to Prevent Overfitting in Deep Neural Network  8
Stacked Denoising Autoencoder and Dropout Together to Preven...
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Proceedings 2015 8 International Congress on Image and Signal Processing (CISP)
作者: Liang, Jianglin Liu, Ruifang Beijing Univ Posts & Telecommun Sch Informat & Commun Sci Beijing 100876 Peoples R China
Deep neural network has very strong nonlinear mapping capability, and with the increasing of the numbers of its layers and units of a given layer, it would has more powerful representation ability. However, it may cau... 详细信息
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Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique
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JOURNAL OF APPLIED REMOTE SENSING 2020年 第3期14卷
作者: Mi, Xiaofei Cao, Weijia Yang, Jian Li, Zhenghuan Zhang, Yazhou Li, Qianjing Sun, Zhensheng Zhan, Yulin Chinese Acad Sci Aerosp Informat Res Inst Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Tsinghua Univ Sch Econ & Management Beijing Peoples R China China Fortune Land Dev Ind Investment Co Ltd Beijing Peoples R China LuDong Univ Sch Resources & Environm Engn Yantai Shandong Peoples R China Taiyuan Univ Technol Coll Min Engn Taiyuan Shanxi Peoples R China
stacked denoising autoencoder (SDAE) model has a strong feature learning ability and has shown great success in the classification of remote sensing images. However, built-up area (BUA) information is easily interfere... 详细信息
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A novel fault early warning method for centrifugal blowers based on stacked denoising autoencoder and transfer learning
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JOURNAL OF MANUFACTURING SYSTEMS 2024年 76卷 443-456页
作者: Zhang, You Li, Congbo Tang, Ying Zhang, Xu Zhou, Feng Chongqing Univ State Key Lab Mech Transmiss Adv Equipment Chongqing 400044 Peoples R China Rowan Univ Dept Elect & Comp Engn Glassboro NJ 08028 USA
Centrifugal blowers are easy to get faults due to the harsh working environment, and appropriate fault early warning is of great significance for predictive maintenance. Traditional fault early warning methods have po... 详细信息
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Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder
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IET SCIENCE MEASUREMENT & TECHNOLOGY 2017年 第6期11卷 687-695页
作者: Xia, Min Li, Teng Liu, Lizhi Xu, Lin de Silva, Clarence W. Univ British Columbia Dept Mech Engn Ind Automat Lab Vancouver BC Canada Istuary Innovat Grp Vancouver BC Canada
Condition monitoring and fault diagnosis are important for maintaining the system performance and guaranteeing the operational safety. The traditional data-driven approaches mostly incorporate well-defined features an... 详细信息
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