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检索条件"主题词=Autoencoder"
4217 条 记 录,以下是4111-4120 订阅
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New Feature Engineering Framework for Deep Learning in Financial Fraud Detection
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2021年 第12期12卷 10-21页
作者: Ikeda, Chie Ouazzane, Karim Yu, Qicheng Hubenova, Svetla London Metropolitan Univ Sch Comp & Digital Media London England
The total losses through online banking in the United Kingdom have increased because fraudulent techniques have progressed and used advanced technology. Using the history transaction data is the limit for discovering ... 详细信息
来源: 评论
Improved Data-Driven Root Cause Analysis in a Fog Computing Environment
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INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES 2022年 第1期18卷
作者: Bulla, Chetan M. Birje, Mahantesh N. KLECET Chikodi India Visvesvaraya Technol Univ Dept Comp Sci & Engn Belagavi India
Internet of things (IoT) and cloud computing are used in many real-time smart applications such as smart healthcare, smart traffic, smart city, and smart industries. Fog computing has been introduced as an intermediat... 详细信息
来源: 评论
Establishing a novel procedure to detect deviations from standard milk processing by using online Raman spectroscopy
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FOOD CONTROL 2022年 131卷
作者: Vasafi, Pegah Sadeghi Hinrichs, Joerg Hitzmann, Bernd Univ Hohenheim Inst Food Sci & Biotechnol Garbenstr 23 D-70599 Stuttgart Germany
Controlling milk processing steps is a crucial task as it affects the quality and safety of the final product. Using Raman spectrometer in combination with various evaluation techniques such as principal component ana... 详细信息
来源: 评论
PRNet with convolution layer for PAPR reduction of OFDM signals
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IEICE COMMUNICATIONS EXPRESS 2024年 第8期13卷 339-342页
作者: Ohta, Masaya Kubota, Koichi Osaka Metropolitan Univ Grad Sch Informat 1-1 Gakuen choNaka ku Sakai Osaka 5998531 Japan
This research uses deep learning to address the high peak-toaverage power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM), which is critical for wireless communications. Although a PAPRreducing netwo... 详细信息
来源: 评论
Anomaly Detection using Unsupervised Methods: Credit Card Fraud Case Study
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年 第11期10卷 1-8页
作者: Rezapour, Mahdi Univ Wyoming Laramie WY 82071 USA
The usage of credit card has increased dramatically due to a rapid development of credit cards. Consequently, credit card fraud and the loss to the credit card owners and credit cards companies have been increased dra... 详细信息
来源: 评论
Distribution-based detection of radiographic changes in pneumonia patterns: A COVID-19 case study
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HELIYON 2024年 第16期10卷 e35677页
作者: Pereira, Sofia C. Rocha, Joana Campilho, Aurelio Mendonca, Ana Maria Inst Syst & Comp Engn Technol & Sci INESC TEC Porto Portugal Univ Porto Fac Engn Porto Portugal
Although the classification of chest radiographs has long been an extensively researched topic, interest increased significantly with the onset of the COVID-19 pandemic. Existing results are promising;however, the rad... 详细信息
来源: 评论
Robust estimation of hydrogeological parameters from wireline logs usingsemi-supervised deep neural networks assisted with global optimization-based regression methods
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GROUNDWATER FOR SUSTAINABLE DEVELOPMENT 2024年 27卷
作者: Mohammed, Musaab. A. A. Szabo, Norbert P. Szucs, Peter Univ Miskolc Fac Earth & Environm Sci & Engn H-3515 Miskolc Egyetemvaros Hungary Univ Miskolc Inst Water Resources & Environm Management Natl Lab Water Sci & Water Secur Miskolc Hungary Univ Bahri Coll Petr Geol & Minerals Khartoum Sudan
Understanding the distribution of hydrogeological properties of the aquifers is crucial for sustainable groundwater resource development. This research explores the application of deep autoencoder neural networks (AEN... 详细信息
来源: 评论
Generalising a machine learning model for laser cutting on various sheet thicknesses
WT Werkstattstechnik
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WT Werkstattstechnik 2024年 第5期114卷 246-252页
作者: Leiner, Kathrin Wall, Daniel Kühlem, Jan Huber, Marco Trumpf Werkzeugmaschinen SE + Co. KG Johann-Maus-Str. 2 Ditzingen71254 Germany Point 8 GmbH Rheinlanddamm 201 Dortmund44139 Germany Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA Nobelstr. 12 Stuttgart70569 Germany
In this work, a machine learning model is trained on the basis of an autoencoder. The aim of the model is to recognise faulty cuts during laser cutting, as faulty cuts lead to high reject rates. The literature shows t... 详细信息
来源: 评论
Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework
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SENSORS 2020年 第5期20卷 1399页
作者: Khan, Zulfiqar Ahmad Hussain, Tanveer Ullah, Amin Rho, Seungmin Lee, Miyoung Baik, Sung Wook Sejong Univ Digital Contents Res Inst Intelligent Media Lab Seoul 143747 South Korea
Due to industrialization and the rising demand for energy, global energy consumption has been rapidly increasing. Recent studies show that the biggest portion of energy is consumed in residential buildings, i.e., in E... 详细信息
来源: 评论
Deep Compressed Sensing for Learning Submodular Functions
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SENSORS 2020年 第9期20卷 2591页
作者: Tsai, Yu-Chung Tseng, Kuo-Shih Natl Cent Univ Dept Math Taoyuan 32001 Taiwan
The AI community has been paying attention to submodular functions due to their various applications (e.g., target search and 3D mapping). Learning submodular functions is a challenge since the number of a function... 详细信息
来源: 评论