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检索条件"主题词=Variational autoencoder"
1537 条 记 录,以下是421-430 订阅
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Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2024年 253卷
作者: Chiu, Kuanhsuan Chen, Junghui Zhang, Zhengjiang Chung Yuan Christian Univ Dept Chem Engn Taoyuan 32023 Taiwan Wenzhou Univ Natl Local Joint Engn Lab Digitalize Elect Design Wenzhou 325035 Peoples R China
In the chemical plants, data-driven process monitoring serves as a vital tool to ensure product quality and maintain production line safety. However, the accuracy of monitoring hinges directly upon the quality of proc... 详细信息
来源: 评论
Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised variational autoencoder Model
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ENERGIES 2023年 第12期16卷 4544页
作者: Oliveira-Filho, Adaiton Zemouri, Ryad Cambron, Philippe Tahan, Antoine Ecole Technol Super Dept Mech Engn 1100 Rue Notre Dame Montreal PQ H3C 1K3 Canada Inst Rech Hydroquebec 1800 Bd Lionel Boulet Varennes PQ J3X 1S1 Canada Power Factors 7005 Blvd Taschereau Brossard PQ J4Z 1A7 Canada
The operation and maintenance of wind turbines benefit from reliable information on the wind turbine condition. Data-driven models use data from the supervisory data acquisition system. In particular, great performanc... 详细信息
来源: 评论
An interpretable image classification model Combining a fuzzy neural network with a variational autoencoder inspired by the human brain
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INFORMATION SCIENCES 2024年 661卷
作者: Zhang, Ke Hao, Wenning Yu, Xiaohan Shao, Tianhao Natl Univ Def Technol Res Inst 63 Changsha Peoples R China Army Engn Univ PLA Coll Command & Control Engn Nanjing Peoples R China
Fuzzy neural networks (FNNs) have gained attention for their interpretability and self -learning ability. However, they struggle with interpreting high -dimensional unstructured data and the problem of "rule expl... 详细信息
来源: 评论
Towards automatic feature extraction and sample generation of grain structure by variational autoencoder
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COMPUTATIONAL MATERIALS SCIENCE 2024年 232卷
作者: Ji, Ye Koeppe, Arnd Altschuh, Patrick Rajagopal, Deepalaxmi Zhao, Yinghan Chen, Weijin Zhang, Yi Zheng, Yue Nestler, Britta Sun Yat sen Univ Ctr Phys Mech & Biophys Sch Phys Xingang West Rd 135 Guangzhou 510275 Guangdong Peoples R China Sch Phys Guangdong Prov Key Lab Magnetoelectr Phys & Device Xingang West Rd 135 Guangzhou 510275 Guangdong Peoples R China Sun Yat Sen Univ Sch Phys & Engn State Key Lab Optoelect Mat & Technol Xingang West Rd 135 Guangzhou 510275 Guangdong Peoples R China Karlsruhe Inst Technol Kaiserstrasse 12 D-76131 Karlsruhe Germany Karlsruhe Inst Technol Inst Appl Mat IAM MMS Kaiserstr 12 D-76131 Karlsruhe Baden Wurttembe Germany Karlsruhe Univ Appl Sci Inst Digital Mat Sci Moltkestr 30 D-76133 Karlsruhe Baden Wurttembe Germany
Granularity is one of the most predominant structures for polycrystalline materials, from geological compounds to technical high-performance alloys. In particular, grain structures in metal alloys enable custom-tailor... 详细信息
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Innovative IoT Threat Detection: Weighted variational autoencoder-Based Hunter Prey Search Algorithm for Strengthening Cybersecurity
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IETE JOURNAL OF RESEARCH 2024年 第10期70卷 7687-7700页
作者: Alshmrany, Sami Islamic Univ Madinah Fac Comp & Informat Syst Al Madinah Al Munawarah 42351 Saudi Arabia
Cybersecurity threat detection in the Internet of Things (IoT) identifies and mitigates risks associated with connected devices. The IoT devices are vulnerable to attacks as they do not contain any robust security mec... 详细信息
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Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation
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MEDICAL IMAGE ANALYSIS 2023年 90卷 102961页
作者: Park, Hyojoon Li, Bin Liu, Yuming Nelson, Michael S. Wilson, Helen M. Sifakis, Eftychios Eliceiri, Kevin W. Univ Wisconsin Madison Dept Comp Sci Madison WI 53706 USA Univ Wisconsin Madison Dept Biomed Engn Madison WI 53706 USA Univ Wisconsin Madison Lab Opt & Computat Instrumentat Madison WI 53706 USA Morgridge Inst Res Madison WI 53706 USA
The role of fibrillar collagen in the tissue microenvironment is critical in disease contexts ranging from cancers to chronic inflammations, as evidenced by many studies. Quantifying fibrillar collagen organization ha... 详细信息
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Development of a diagnostic algorithm for abnormal situations using long short-term memory and variational autoencoder
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ANNALS OF NUCLEAR ENERGY 2021年 153卷 108077-108077页
作者: Kim, Hyojin Arigi, Awwal Mohammed Kim, Jonghyun Chosun Univ Dept Nucl Engn 309 Pilmun Daero Gwangju 501709 South Korea
It is recognized that an abnormal situation diagnosis is a challenging task for nuclear power plant (NPP) operators because of the excessive information and high workload in such situations. To help operators, several... 详细信息
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A Hybrid Cluster variational autoencoder Model for Monitoring the Multimode Blast Furnace System
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PROCESSES 2023年 第9期11卷 2580页
作者: Chen, Chenyu Cai, Jinhui China Jiliang Univ Coll Metrol & Measurement Engn Hangzhou 310018 Peoples R China
Efficient monitoring of the blast furnace system is crucial for maintaining high production efficiency and ensuring product quality. This article introduces a hybrid cluster variational autoencoder model for monitorin... 详细信息
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Attention-Based variational autoencoder Models for Human-Human Interaction Recognition via Generation
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SENSORS 2024年 第12期24卷 3922页
作者: Banerjee, Bonny Baruah, Murchana Univ Memphis Inst Intelligent Syst Memphis TN 38152 USA Univ Memphis Dept Elect & Comp Engn Memphis TN 38152 USA
The remarkable human ability to predict others' intent during physical interactions develops at a very early age and is crucial for development. Intent prediction, defined as the simultaneous recognition and gener... 详细信息
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Decoupled variational autoencoder with interactive attention for affective text generation
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 第PartC期123卷
作者: Chen, Ruijun Wang, Jin Yu, Liang-Chih Zhang, Xuejie Yunnan Univ Sch Informat Sci & Engn Kunming Peoples R China Yuan Ze Univ Dept Informat Management Taoyuan Taiwan
Artificial emotional intelligence (AEI) is an important ability for intelligent systems. Representing emotional states as a continuous sentiment intensity could achieve a more fine-grained sentiment application than t... 详细信息
来源: 评论