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检索条件"主题词=autoencoder"
4251 条 记 录,以下是341-350 订阅
排序:
A physics-informed autoencoder for system health state assessment based on energy-oriented system performance
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RELIABILITY ENGINEERING & SYSTEM SAFETY 2024年 242卷
作者: Huang, Xucong Peng, Zhaoqin Tang, Diyin Chen, Juan Zio, Enrico Zheng, Zaiping Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Beihang Univ Sch Mech Engn & Automat Control Beijing 100191 Peoples R China Politecn Milan Energy Dept Milan Italy PSL MINES Paris France Beijing Inst Precise Mechatron & Controls Beijing 100076 Peoples R China
Health Indicators (HIs) have been widely used for health state assessments. In many applications, HI with physical meaning is a preferred choice to assist system health management due to its inherent nature of objecti... 详细信息
来源: 评论
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
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NEUROCOMPUTING 2019年 365卷 137-146页
作者: Abiri, Najmeh Linse, Bjorn Eden, Patrik Ohlsson, Mattias Lund Univ Dept Astron & Theoret Phys Lund Sweden Halmstad Univ Ctr Appl Intelligent Syst Res Halmstad Sweden
Dealing with missing data in data analysis is inevitable. Although powerful imputation methods that address this problem exist, there is still much room for improvement. In this study, we examined single imputation ba... 详细信息
来源: 评论
One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites
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COMPOSITES PART B-ENGINEERING 2024年 272卷
作者: Zhang, Yubin Xu, Changhang Liu, Pengqian Xie, Jing Han, Yage Liu, Rui Chen, Lina China Univ Petr East China Coll Mech & Elect Engn Qingdao 266580 Peoples R China
Fiber -reinforced polymer (FRP) composites have been widely applied in different industrial fields, thereby necessitating the employment of non-destructive testing (NDT) methods to ensure structural integrity and safe... 详细信息
来源: 评论
Network Anomaly Detection Using Memory-Augmented Deep autoencoder
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IEEE ACCESS 2021年 9卷 104695-104706页
作者: Min, Byeongjun Yoo, Jihoon Kim, Sangsoo Shin, Dongil Shin, Dongkyoo Sejong Univ Convergence Engn Intelligent Drones Dept Comp Engn Seoul 05006 South Korea Sejong Univ Dept Comp Engn Seoul 05006 South Korea Agcy Def Dev Daejeon 05600 South Korea
In recent years, attacks on network environments continue to rapidly advance and are increasingly intelligent. Accordingly, it is evident that there are limitations in existing signature-based intrusion detection syst... 详细信息
来源: 评论
Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds
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INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2024年 第4期37卷 438-453页
作者: Ronsch, G. O. Lopez-Espejo, I Michelsanti, D. Xie, Y. Popovski, P. Tan, Z-H Tech Univ Denmark Dept Stat & Data Anal Lyngby Denmark Aalborg Univ Dept Elect Syst Aalborg Denmark
Predictive and condition-based maintenance is given more and more attention to further optimize the utilization of manufacturing and production equipment. Utilizing acoustic signals for equipment monitoring and condit... 详细信息
来源: 评论
DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network
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MULTIMEDIA TOOLS AND APPLICATIONS 2021年 第20期80卷 30399-30415页
作者: Khamparia, Aditya Gupta, Deepak Rodrigues, Joel J. P. C. de Albuquerque, Victor Hugo C. Lovely Profess Univ Sch Comp Sci & Engn Phagwara Punjab India Maharaja Agrasen Inst Technol New Delhi India Univ Fed Piaui Teresina PI Brazil Inst Telecommun P-1049001 Lisbon Portugal Univ Fortaleza Grad Program Appl Informat Fortaleza Ceara Brazil
Early detection, early diagnosis and classification of the cancer type facilitates faster disease management of patients. Cervical cancer is fourth most pervasive cancer type which affects life of many people worldwid... 详细信息
来源: 评论
Constrained autoencoder-Based Pulse Compressed Thermal Wave Imaging for Sub-Surface Defect Detection
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IEEE SENSORS JOURNAL 2022年 第18期22卷 17335-17342页
作者: Kaur, Kirandeep Mulaveesala, Ravibabu Mishra, Priyanka Indian Inst Technol Ropar Dept Elect Engn Infrared Imaging Lab Rupnagar 140001 India
Non-destructive testing & evaluation techniques play an essential role in ensuring safety of materials in operation at various industry sectors. Pulse compressed favourable thermal wave imaging is one of the widel... 详细信息
来源: 评论
Research on denoising sparse autoencoder
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INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2017年 第5期8卷 1719-1729页
作者: Meng, Lingheng Ding, Shifei Xue, Yu China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Peoples R China China Univ Min & Technol Jiangsu Key Lab Mine Mech & Elect Equipment Xuzhou 221116 Peoples R China Nanjing Univ Informat Sci & Technol Coll Comp & Software Nanjing 210044 Jiangsu Peoples R China
autoencoder can learn the structure of data adaptively and represent data efficiently. These properties make autoencoder not only suit huge volume and variety of data well but also overcome expensive designing cost an... 详细信息
来源: 评论
Wind turbine anomaly detection based on SCADA: A deep autoencoder enhanced by fault instances
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ISA TRANSACTIONS 2023年 第1期139卷 586-605页
作者: Liu, Jiarui Yang, Guotian Li, Xinli Wang, Qianming He, Yuchen Yang, Xiyun North China Elect Power Univ Sch Control & Comp Engn Beijing 102206 Peoples R China
An increasing number of deep autoencoder-based algorithms for intelligent condition monitoring and anomaly detection have been reported in recent years to improve wind turbine reliability. However, most existing studi... 详细信息
来源: 评论
A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images
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NEURAL COMPUTING & APPLICATIONS 2024年 第15期36卷 8335-8354页
作者: Ranjan, Pallavi Kumar, Rajeev Girdhar, Ashish Delhi Technol Univ Dept Comp Sci Delhi India Kurukshetra Univ Dept Comp Applicat Kurukshetra India
The classification of hyperspectral images (HSI) into categories that correlate to various land cover sorts such as water bodies, agriculture and urban areas, has gained significant attention in research due to its wi... 详细信息
来源: 评论