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检索条件"主题词=autoencoder"
4241 条 记 录,以下是4081-4090 订阅
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Towards individualized shoes: Deep learning-based fault detection for 3D printed footwear
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Procedia CIRP 2022年 107卷 196-201页
作者: Markus Kreutz Alexander Böttjer Markus Trapp Michael Lütjen Michael Freitag University of Bremen Faculty of Production Engineering Badgasteiner Str. 1 28359 Bremen Germany BIBA - Bremer Institut für Produktion und Logistik at the University of Bremen Hochschulring 20 28359 Bremen Germany
The industry is shifting from a selection between a few ready-made models by the customer towards highly customizable, individualized, made-on-demand final products. This also encompasses the footwear industry, where ... 详细信息
来源: 评论
Data-predictive Control of Multi-Timescale Nonlinear Processes ⁎
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IFAC-PapersOnLine 2024年 第14期58卷 109-114页
作者: Jun Wen Tang Yitao Yan Jie Bao Biao Huang School of Chemical Engineering UNSW Sydney NSW 2052 Australia Department of Chemical and Materials Engineering University of Alberta 116 St. and 85 Ave. Edmonton AB Canada T6G 2R3
A novel big data-predictive control approach for nonlinear multi-timescale processes is presented in this paper. Multiple Dynamical Latent Variable autoencoders (DLVAEs) are employed to approximate multi-timescale dyn... 详细信息
来源: 评论
Detecting process instabilities in industrial gas metal arc welding time series
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Procedia Manufacturing 2020年 52卷 150-155页
作者: Vanessa Kirchner Ivan Vishev Mario Rossdeutscher Mercedes-Benz AG Mercedesstraβe 120 70546 Stuttgart Germany Eberhard Karls Universität Tübingen Geschwister-Scholl-Platz 72074 Tübingen Germany
Gas metal arc welding is widely used in industrial series production for joining aluminum. A lot of factors, such as instabilities and complex dependencies, influence the quality of the resulting welding seams. It is ... 详细信息
来源: 评论
Bankruptcy Prediction Using Machine Learning
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Journal of Mathematical Finance 2017年 7卷 908-918页
作者: Nanxi Wang Shanghai Starriver Bilingual School Shanghai China
With improved machine learning models, studies on bankruptcy prediction show improved accuracy. This paper proposes three relatively newly-developed methods for predicting bankruptcy based on real-life data. The resul... 详细信息
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Detection of fraudulent transactions using SAS Viya machine learning algorithms
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Procedia Computer Science 2021年 190卷 204-209页
作者: Jenny Domashova Olga Zabelina National Research Nuclear University "MEPhI" 31 Kashirskoe shosse Moscow 115409 Russia
The article presents the results of applying machine learning techniques to detect fraudulent banking transactions. The market of antifraud systems was studied. Ensemble methods for solving classification problem as w... 详细信息
来源: 评论
A dual AE-GAN guided THz spectral dehulling model for mapping energy and moisture distribution on sunflower seed kernels
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FOOD CHEMISTRY 2022年 380卷 131971-131971页
作者: Lei, Tong Li, Qingxia Sun, Da-Wen Natl Univ Ireland Univ Coll Dublin Agr & Food Sci Ctr Food Refrigerat & Computerized Food Technol FRCFT Dublin 4 Ireland
Energy and moisture contents are important food chemical attributes. In the current study, a nondestructive Terahertz (THz) time-domain imaging system was first time used for evaluating the energy and moisture distrib... 详细信息
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A survey on long short-term memory networks for time series prediction
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Procedia CIRP 2021年 99卷 650-655页
作者: Benjamin Lindemann Timo Müller Hannes Vietz Nasser Jazdi Michael Weyrich Institute of Industrial Automation and Software Engineering University of Stuttgart Pfaffenwaldring 47 70569 Stuttgart Germany
Recurrent neural networks and exceedingly Long short-term memory (LSTM) have been investigated intensively in recent years due to their ability to model and predict nonlinear time-variant system dynamics. The present ... 详细信息
来源: 评论
Learning Multi-Modality Features for Scene Classification of High-Resolution Remote Sensing Images
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Journal of Computer and Communications 2018年 第11期6卷 185-193页
作者: Feng’an Zhao Xiongmei Zhang Xiaodong Mu Zhaoxiang Yi Zhou Yang Department of Computer Science and Technology Xi’an Research Institute of High-Tech Xi’an China
Scene classification of high-resolution remote sensing (HRRS) image is an important research topic and has been applied broadly in many fields. Deep learning method has shown its high potential to in this domain, owin... 详细信息
来源: 评论
Method for network-anomaly detection and failure-scale estimation
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IEICE COMMUNICATIONS EXPRESS 2024年 第6期13卷 206-209页
作者: Ogawa, Naoya Kawahara, Ryoichi IDEA Consultants Inc Setagaya ku Tokyo 1540012 Japan Toyo Univ Grad Sch Informat Networking Innovat & Design Kita ku Tokyo 1158650 Japan
In this study, we propose a novel method for network-anomaly detection and failure-scale estimation using autoencoders, which are a type of neural network. The proposed method first divides the network into several gr... 详细信息
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Construction and Reduction Methods of Vulnerability Index System in Power SCADA
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INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2014年 第6期8卷 335-352页
作者: Li, Yuancheng Chu, Shengnan North China Elect Power Univ Sch Control & Comp Engn Beijing Peoples R China
Electric power SCADA (Supervisory Control and Data Acquisition) system gradually transforming from a separate private network to an open public network, seriously increases the vulnerability risk in electric power SCA... 详细信息
来源: 评论