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检索条件"主题词=Autoencoder"
4244 条 记 录,以下是511-520 订阅
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Deep autoencoder With Orthogonal Features for Process Monitoring  21
Deep Autoencoder With Orthogonal Features for Process Monito...
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IEEE 21st International Conference on Industrial Informatics (INDIN)
作者: Yang, Chao Zhang, Congcong Wang, Junxiang Liu, Qiang Northeastern Univ Shenyang Peoples R China
With excellent feature representation capabilities, deep autoencoder networks have attracted attention in process monitoring. However, it cannot take into account the quality indicators to identify whether the faults ... 详细信息
来源: 评论
Capsule-based autoencoder Network for Pointcloud Reconstruction  21
Capsule-based Autoencoder Network for Pointcloud Reconstruct...
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IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI)
作者: Hollosi, Janos Ballagi, Aron Pozna, Claudiu Radu Szechenyi Istvan Univ Dept Informat Technol Gyor Hungary Szechenyi Istvan Univ Dept Automat Gyor Hungary
The theory of capsule networks and the dynamic routing mechanism for capsules was introduced by Geoffrey Hinton and his research team. In this new approach, they tried to solve typical problems of classical convolutio... 详细信息
来源: 评论
A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery
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NEURAL COMPUTING & APPLICATIONS 2022年 第18期34卷 15997-16017页
作者: Xu, Zhaoyi Guo, Yanjie Saleh, Joseph Homer Georgia Inst Technol Sch Aerosp Engn Atlanta GA 30332 USA
Lithium-ion batteries (LIBs) are currently the standard for energy storage in portable consumer electronic devices. They are also used in electric vehicles and in some large industrial settings and for grid power stor... 详细信息
来源: 评论
Griffin: Real-Time Network Intrusion Detection System via Ensemble of autoencoder in SDN
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2022年 第3期19卷 2269-2281页
作者: Yang, Liyan Song, Yubo Gao, Shang Hu, Aiqun Xiao, Bin Southeast Univ Sch Cyber Sci & Engn Nanjing 210096 Peoples R China Southeast Univ Frontiers Sci Ctr Mobile Informat Commun & Secur Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211189 Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China
Many efforts have been devoted to the development of efficient Network Intrusion Detection System (NIDS) using machine learning approaches in Software-defined Network (SDN). Unfortunately, existing solutions failed to... 详细信息
来源: 评论
Human Motion Enhancement via Tobit Kalman Filter-Assisted autoencoder
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IEEE ACCESS 2022年 10卷 29233-29251页
作者: Lannan, Nate Zhou, Le Fan, Guoliang Oklahoma State Univ Sch Elect & Comp Engn Stillwater OK 74078 USA
We present a novel approach to enhance the quality of human motion data collected by low-cost depth sensors, namely D-Mocap, which suffers from low accuracy and poor stability due to occlusion, interference, and algor... 详细信息
来源: 评论
Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients
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ISA TRANSACTIONS 2022年 125卷 371-383页
作者: Peng, Peng Zhang, Yi Wang, Hongwei Zhang, Heming Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Zhejiang Univ ZJU UIUC Inst Haining 314400 Peoples R China
Industrial applications of fault detection and diagnosis face great challenges as they require not only accurate identification of faulty statuses but also the effective understandability of the results. In this paper... 详细信息
来源: 评论
autoencoder-Driven Training Data Selection Based on Hidden Features for Improved Accuracy of ANN Short-Term Load Forecasting in ADMS
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ENERGIES 2024年 第20期17卷 5183页
作者: Pajic, Zoran Jankovic, Zoran Selakov, Aleksandar Univ Novi Sad Fac Tech Sci Dept Power Elect & Telecommun Engn Trg Dositeja Obradovica 6 Novi Sad 21000 Serbia Schneider Elect Novi Sad Ind 3G Novi Sad 21000 Serbia
This paper presents a novel methodology for short-term load forecasting in the context of significant shifts in the daily load curve due to the rapid and extensive adoption of Distributed Energy Resources (DERs). The ... 详细信息
来源: 评论
IS autoencoder TRULY APPLICABLE FOR 3D CT SUPER-RESOLUTION?  20
IS AUTOENCODER TRULY APPLICABLE FOR 3D CT SUPER-RESOLUTION?
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20th IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Luo, Weixun Xing, Xiaodan Yang, Guang Imperial Coll London Dept Bioengn London England Imperial Coll London Natl Heart & Lung Inst London England Royal Brompton Hosp Cardiovasc Res Ctr London England
Featured by a bottleneck structure, autoencoder (AE) and its variants have been largely applied in various medical image analysis tasks, such as segmentation, reconstruction and de-noising. Despite of their promising ... 详细信息
来源: 评论
A Novel Multi-dimensional Time-series Data Anomaly Detection Model Based on Generative Adversarial Network Aided autoencoder  22
A Novel Multi-dimensional Time-series Data Anomaly Detection...
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22nd World Congress of the International Federation of Automatic Control (IFAC)
作者: Gong, Zejun Liu, Qiang Ding, Jinliang Wang, Xiaobo Wang, Peng Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang Peoples R China Fudan Univ Sch Comp Sci Shanghai Peoples R China
With increasing amount and easiness of access the data in industrial processes, data-driven technologies have become more prevalent in process monitoring. Anomaly detection is an indispensable part of process monitori... 详细信息
来源: 评论
Lazy Node-Dropping autoencoder
Lazy Node-Dropping Autoencoder
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IEEE International Conference on Big Data and Smart Computing (BigComp)
作者: Lee, Jaewon Kim, Myung Jun Shin, Hyunjung Ajou Univ Dept Artificial Intelligence Suwon South Korea INRIA Saclay Soda Palaiseau France Ajou Univ Dept Ind Engn Dept Artificial Intelligence Suwon South Korea
autoencoders are widely used for dimensionality reduction nonlinearly. However, determining the number of nodes in the autoencoder embedding space is still a challenging task. The number of nodes in the bottleneck lay... 详细信息
来源: 评论