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检索条件"主题词=Denoising autoencoder"
340 条 记 录,以下是111-120 订阅
排序:
Sequential application of denoising autoencoder and long-short recurrent convolutional network for noise-robust remaining-useful-life prediction framework of lithium-ion batteries
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COMPUTERS & INDUSTRIAL ENGINEERING 2023年 第1期179卷
作者: Hong, Seonri Kang, Moses Kim, Jonghoon Baek, Jongbok Korea Inst Energy Res Energy ICT Convergence Res Dept Energy Efficiency Res Div Daejeon South Korea Chungnam Natl Univ Dept Elect Engn Energy Storage & Convers Lab Daejeon 34134 South Korea
Accurate prediction of the lithium-ion battery lifetime is important to maintain the performance of the battery system. Because data-driven methods are extensively used in the analysis of nonlinear dynamical systems i... 详细信息
来源: 评论
Adaptive Scheme of denoising autoencoder for Estimating Indoor Localization Based on RSSI Analytics in BLE Environment
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SENSORS 2023年 第12期23卷 5544页
作者: Kim, Kyuri Lee, Jaeho Duksung Womens Univ Dept IT Media Engn Seoul 01369 South Korea Duksung Womens Univ Dept Software Seoul 01369 South Korea
In indoor environments, estimating localization using a received signal strength indicator (RSSI) is difficult because of the noise from signals reflected and refracted by walls and obstacles. In this study, we used a... 详细信息
来源: 评论
All-round improvement in DCT-based blind image watermarking with visual enhancement via denoising autoencoder
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COMPUTERS & ELECTRICAL ENGINEERING 2022年 100卷 1页
作者: Hu, Hwai-Tsu Hsu, Ling-Yuan Lee, Tung-Tsun Natl Ilan Univ Dept Elect Engn Ilan Taiwan
Discrete cosine transform (DCT)-based watermarking has received great success in the copyright protection of digital images. This study exploited the orthonormal expansion properties of DCT to achieve superior perform... 详细信息
来源: 评论
Stacked Graph Fusion denoising autoencoder for Hyperspectral Anomaly Detection
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2024年 21卷 1页
作者: Zhang, Yongshan Li, Yijiang Wang, Xinxin Jiang, Xinwei Zhou, Yicong China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China Univ Macau Dept Comp & Informat Sci Macau Peoples R China
Anomaly detection for hyperspectral images (HSIs) is a challenging problem to distinguish a few anomalous pixels from a majority of background pixels. Most existing methods cannot simultaneously explore both structura... 详细信息
来源: 评论
Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning
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JOURNAL OF MICROBIOLOGICAL METHODS 2022年 192卷 106378-106378页
作者: Li, Yunhong Gan, Zeyu Zhou, Xi Chen, Zhiwei Xiamen Univ Sch Elect Sci & Engn Dept Elect Sci Fujian Prov Key Lab Plasma & Magnet Resonance Res Xiamen Peoples R China Xiamen Univ Coll Mat Res Ctr Biomed Engn Xiamen Dept BiomatHigher Educ Key Lab Biomed Engn Fujian Xiamen Peoples R China Xiamen Univ Sch Elect Sci & Engn Dept Elect Sci Xiamen 361005 Peoples R China
Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathogen of listeriosis, potentially lethal disease for humans. There are many similarities between L. monocytogenes and oth... 详细信息
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A face attribute based recommendation system via integrating denoising autoencoder and hash coding
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COMPUTERS & ELECTRICAL ENGINEERING 2021年 90卷 107020-107020页
作者: Liu, Fan Chen, Zhiyu Ding, Yuhua Yang, Sai Zhang, Tao Hohai Univ Nanjing 210098 Peoples R China Nanjing Univ Sci & Technol Nanjing 210094 Peoples R China Nantong Univ Nantong 226019 Peoples R China Yangzhou Univ Yangzhou 225127 Jiangsu Peoples R China
Nowadays, with the rapid development of commerce, how to effectively improve the performance of an recommendation system has aroused great concern. However, traditional recommendation system requires users to log in t... 详细信息
来源: 评论
A Multi-Label Classification with an Adversarial-Based denoising autoencoder for Medical Image Annotation
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ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS 2023年 第2期14卷 19-19页
作者: Chai, Yidong Liu, Hongyan Xu, Jie Samtani, Sagar Jiang, Yuanchun Liu, Haoxin Hefei Univ Technol Key Lab Proc Optimizat & Intelligence Decis Makin Minister Educ Liu Sch Management 193 Tunxi Rd Hefei 230009 Anhui Peoples R China Tsinghua Univ Res Ctr Contemporary Management Sch Econ & Management 30 Shuangqing Rd Beijing 100084 Peoples R China Capital Med Univ Beijing Tongren Hosp Beijing Inst Ophthalmol 1 Dongjiaominxiang Beijing 100005 Beijing Peoples R China Indiana Univ Kelley Sch Business 107 S Indiana Ave Bloomington IN 47405 USA
Medical image annotation aims to automatically describe the content of medical images. It helps doctors to understand the content of medical images and make better informed decisions like diagnoses. Existing methods m... 详细信息
来源: 评论
Modulation classification based on denoising autoencoder and convolutional neural network with GNU radio
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JOURNAL OF ENGINEERING-JOE 2019年 第19期2019卷 6188-6191页
作者: Wang, Jun Wang, Wenfeng Luo, Feixiang Wei, Shaoming Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China
In this article, a machine learning method to classify signal with Gaussian noise based on denoising auto encoder (DAE) and convolutional neural network (CNN) is proposed. We combine denoising autoencoder's denois... 详细信息
来源: 评论
IC-U-Net: A U-Net-based denoising autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
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NEUROIMAGE 2022年 263卷 119586-119586页
作者: Chuang, Chun-Hsiang Chang, Kong-Yi Huang, Chih-Sheng Jung, Tzyy-Ping Natl Tsing Hua Univ Coll Educ Res Ctr Educ & Mind Sci Hsinchu Taiwan Natl Tsing Hua Univ Inst Informat Syst & Applicat Coll Elect Engn & Comp Sci Hsinchu Taiwan Natl Tsing Hua Univ Dept Educ & Learning Technol Hsinchu Taiwan Natl Taiwan Ocean Univ Dept Comp Sci & Engn Keelung Taiwan Elan Microelect Corp Dept Artificial Intelligence Res & Dev Hsinchu Taiwan Natl Yang Ming Chiao Tung Univ Coll Artificial Intelligence & Green Energy Hsinchu Taiwan Natl Taipei Univ Technol Coll Elect Engn & Comp Sci Taipei Taiwan Univ Calif San Diego Inst Engn Med La Jolla CA USA Univ Calif San Diego Inst Neural Computat La Jolla CA USA
Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative to develop a practical and reliable artifact removal method to prevent the misinterpretation of neural signals and the under... 详细信息
来源: 评论
ProADD: Proactive battery anomaly dual detection leveraging denoising convolutional autoencoder and incremental voltage analysis
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APPLIED ENERGY 2024年 373卷
作者: Jeon, Jihun Cheon, Hojin Jung, Byungil Kim, Hongseok Sogang Univ Dept Elect Engn 35 Baekbeom Ro Seoul 04107 South Korea Doosan Enerbil Data Analyt Team 155 Jeongjail Ro Seongnam Si 13557 Gyeonggi Do South Korea
The use of lithium-ion batteries is increasing fast in many fields such as electric vehicles (EVs) and energy storage system (ESS). However, the number of accidents caused by thermal runaway of lithium-ion batteries i... 详细信息
来源: 评论