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检索条件"主题词=Denoising Autoencoder"
343 条 记 录,以下是241-250 订阅
排序:
Gas path fault detection and isolation for aero-engine based on LSTM-DAE approach under multiple-model architecture
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MEASUREMENT 2022年 202卷
作者: Wang, Kun Guo, Yingqing Zhao, Wanli Zhou, Qifan Guo, Pengfei Northwestern Polytech Univ Sch Energy & Power Xian 710129 Peoples R China
Gas path fault diagnosis plays a critical role in the security guarantee and maintenance of aero-engines. In this paper, an approach based on a fusion neural network under multiple-model architecture for gas path faul... 详细信息
来源: 评论
Development of an efficient data-driven method to estimate the hydraulic properties of aquifers from groundwater level fluctuation pattern features
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JOURNAL OF HYDROLOGY 2020年 590卷 125453-125453页
作者: Jeong, Jiho Jeong, Jina Park, Eungyu Lee, Byung Sun Song, Sung-Ho Han, Weon Shik Chung, Sungwook Kyungpook Natl Univ Dept Geol Daegu South Korea Korea Rural Community Corp Rural Res Inst Ansan South Korea Yonsei Univ Dept Earth Syst Sci Seoul South Korea Korea Basic Sci Inst Div Earth & Environm Sci Choengju South Korea
A method to develop a data-driven model able to estimate hydraulic properties based on groundwater level (GWL) fluctuation patterns is proposed. In particular, a preprocessing method using a denoising autoencoder (DAE... 详细信息
来源: 评论
A Hybrid Model for Nonlinear Regression with Missing Data UsingQuasilinearKernel
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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2020年 第12期15卷 1791-1800页
作者: Zhu, Huilin Tian, Yanling Ren, Yanni Hu, Jinglu Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Hibikino 2-7 Kitakyushu Fukuoka 8080135 Japan
In both the research and engineering fields, missing data is a serious problem that cannot be overlooked. Therefore, available datasets with missing data are a challenge to be modeled by conventional global prediction... 详细信息
来源: 评论
A context-aware robust intrusion detection system: a reinforcement learning-based approach
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INTERNATIONAL JOURNAL OF INFORMATION SECURITY 2020年 第6期19卷 657-678页
作者: Sethi, Kamalakanta Rupesh, E. Sai Kumar, Rahul Bera, Padmalochan Madhav, Y. Venu Indian Inst Technol Bhubaneswar 752050 Odisha India
Detection and prevention of intrusions in enterprise networks and systems is an important, but challenging problem due to extensive growth and usage of networks that are constantly facing novel attacks. An intrusion d... 详细信息
来源: 评论
Software Defect Prediction Based on Non-Linear Manifold Learning and Hybrid Deep Learning Techniques
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Computers, Materials & Continua 2020年 第11期65卷 1467-1486页
作者: Kun Zhu Nana Zhang Qing Zhang Shi Ying Xu Wang School of Computer Science Wuhan UniversityWuhan430072China School of Information Science and Engineering Qufu Normal UniversityRizhao276826China Department of Computer Science Vrije University AmsterdamAmsterdam1081HVThe Netherlands
Software defect prediction plays a very important role in software quality assurance,which aims to inspect as many potentially defect-prone software modules as ***,the performance of the prediction model is susceptibl... 详细信息
来源: 评论
Learning and visualizing chronic latent representations using electronic health records
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BIODATA MINING 2022年 第1期15卷 18-18页
作者: Chushig-Muzo, David Soguero-Ruiz, Cristina Bohoyo, Pablo de Miguel Mora-Jimenez, Inmaculada Rey Juan Carlos Univ Dept Signal Theory & Commun Telemat & Comp Syst Madrid Spain Univ Hosp Fuenlabrada Madrid Spain
Background Nowadays, patients with chronic diseases such as diabetes and hypertension have reached alarming numbers worldwide. These diseases increase the risk of developing acute complications and involve a substanti... 详细信息
来源: 评论
Learning social representations with deep autoencoder for recommender system
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WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 2020年 第4期23卷 2259-2279页
作者: Pan, Yiteng He, Fazhi Yu, Haiping Wuhan Univ Sch Comp Sci Wuhan Peoples R China
With the development of online social media, it attracts increasingly attentions to utilize social information for recommender systems. Based on the intuition that users are influenced by their social friends, these m... 详细信息
来源: 评论
Removal of multisource noise in airborne electromagnetic data based on deep learning
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GEOPHYSICS 2020年 第6期85卷 B207-B222页
作者: Wu, Xin Xue, Guoqiang He, Yiming Xue, Junjie Chinese Acad Sci Inst Geol & Geophys Key Lab Mineral Resources Beijing 100029 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China China Univ Min & Technol Coll Geosci & Surveying Engn Beijing 100083 Peoples R China
Existing noise removal processes for airborne electromagnetic (AEM) data generally consist of several steps, with each using a specific method to remove a specific type of noise. To improve the efficiency of AEM denoi... 详细信息
来源: 评论
Deep Learning Approaches for Detecting Freezing of Gait in Parkinson's Disease Patients through On-Body Acceleration Sensors
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SENSORS 2020年 第7期20卷 1895-1895页
作者: Sigcha, Luis Costa, Nelson Pavon, Ignacio Costa, Susana Arezes, Pedro Manuel Lopez, Juan De Arcas, Guillermo Univ Politecn Madrid Grp Invest Instrumentac & Acust Aplicada I2A2 ETSI Ind Campus Sur UPMCtra ValenciaKm 7 Madrid 28031 Spain Univ Minho Sch Engn ALGORITMI Res Ctr P-4800058 Guimaraes Portugal
Freezing of gait (FOG) is one of the most incapacitating motor symptoms in Parkinson's disease (PD). The occurrence of FOG reduces the patients' quality of live and leads to falls. FOG assessment has usually b... 详细信息
来源: 评论
A synchronized heterogeneous autoencoder with feature-level and label-level knowledge distillation for the recommendation
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2021年 106卷 104494-104494页
作者: Pan, Yiteng He, Fazhi Yan, Xiaohu Li, Haoran DongGuan Univ Technol Sch Cyberspace Secur Dongguan Peoples R China Wuhan Univ Sch Comp Sci Wuhan Peoples R China Shenzhen Polytech Sch Artificial Intelligence Shenzhen Peoples R China Xidian Univ ISN State Key Lab Xian Peoples R China
Motivated by the success of deep learning techniques, there are numerous deep learning models developed for recommender systems. User-oriented autoencoder (UAE) and item-oriented autoencoder (IAE) are two typical appr... 详细信息
来源: 评论