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检索条件"主题词=autoencoder"
4251 条 记 录,以下是321-330 订阅
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Enhanced instance selection for large-scale data using integrated clustering and autoencoder techniques
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INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS 2025年 1-18页
作者: Nazari, Mohammad Saadatfar, Hamid Islamic Azad Univ Fac Engn Dept Comp Engn Birjand Iran Univ Birjand Dept Comp Engn Fac Elect & Comp Engn Birjand Iran
Instance selection plays a crucial role in improving the efficiency of machine learning models, especially when dealing with large datasets. Traditional instance selection methods often struggle to balance data reduct... 详细信息
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A Lightweight Deep autoencoder Scheme for Cyberattack Detection in the Internet of Things
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Computer Systems Science & Engineering 2023年 第7期46卷 57-72页
作者: Maha Sabir Jawad Ahmad Daniyal Alghazzawi Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah80200Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburgh EH105DYUK
The Internet of things(IoT)is an emerging paradigm that integrates devices and services to collect real-time data from surroundings and process the information at a very high speed to make a *** several advantages,the... 详细信息
来源: 评论
TransGAD: A Transformer-Based autoencoder for Graph Anomaly Detection  29th
TransGAD: A Transformer-Based Autoencoder for Graph Anomaly ...
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29th International Conference on Database Systems for Advanced Applications (DASFAA)
作者: Guo, Zehao Wu, Nannan Zhao, Yiming Wang, Wenjun Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China
Graph anomaly detection, aimed at identifying anomalous patterns that significantly differ from other nodes, has drawn widespread attention in recent years. Due to the complex topological structures and attribute info... 详细信息
来源: 评论
MECFormer: Multiple Exposure Correction Transformer Based on autoencoder
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IEEE ACCESS 2025年 13卷 83123-83135页
作者: Baek, Jong-Hyeon Lee, Hyo-Jun Kim, Hanul Koh, Yeong Jun Chungnam Natl Univ Dept Comp Sci & Engn Daejeon 34134 South Korea Kangwon Natl Univ Dept Artificial Intelligence Convergence Chunchon 24341 South Korea Seoul Natl Univ Sci & Technol Dept Appl Artificial Intelligence Seoul 01811 South Korea
Images captured with wrong exposure conditions inevitably produce unsatisfactory visual effects. Thus, multiple exposure correction has drawn much attention, which should correct for degraded images due to various wro... 详细信息
来源: 评论
Dual autoencoder based zero shot learning in special domain
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PATTERN ANALYSIS AND APPLICATIONS 2023年 第2期26卷 797-808页
作者: Li, Qiong Rigall, Eric Sun, Xin Lam, Kin Man Dong, Junyu Qingdao Agr Univ Dept Sci & Informat Sci 700 Changcheng Rd Qingdao 266109 Shandong Peoples R China Ocean Univ China Dept Comp Sci & Technol 238 Songling Rd Qingdao 266100 Shandong Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Hung Hom Kowloon Hong Kong 999077 Peoples R China Tech Univ Munich Dept Aerosp & Geodesy D-80333 Munich Germany
Zero-shot learning aims to learn a visual classifier for a category which has no training samples leveraging its semantic information and its relationship to other categories. It is common, yet vital, in practical vis... 详细信息
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Revealing spatio-temporal characteristics of ecological resistance surfaces: A regional study case based on coupled algorithms autoencoder-XGBoost
ECOLOGICAL FRONTIERS
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ECOLOGICAL FRONTIERS 2025年 第2期45卷 422-432页
作者: Lao, Yeming He, Xiaorong Chen, Jiale Liang, Youjia Wuhan Univ Technol Sch Resources & Environm Engn Wuhan 430070 Peoples R China Minist Nat Resources Observat Res Stn Land Ecol & Land Use Yangtze Rive Nanjing 210017 Peoples R China
As regional economy develops rapidly, the ecological environment exposes a series of problems, with the characteristics of ecological resistance surfaces being obviously differentiated. In the context of the increasin... 详细信息
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autoencoder-Based Features Extraction for the Health Monitoring in the Space domain  66
Autoencoder-Based Features Extraction for the Health Monitor...
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2023 IEEE 66th International Midwest Symposium on Circuits and Systems, MWSCAS 2023
作者: Onofri, Silvia Enttsel, Andriy Manovi, Livia Marchioni, Alex Cognetta, Salvatore Corallo, Francesco Ciancarelli, Carlo Mangia, Mauro Rovatti, Riccardo Setti, Gianluca Dei Univ. of Bologna Arces Italy Thales Alenia Space Italia S.p.A. Italy Cemse Kaust Saudi Arabia
In the satellite operation domain, the accurate pre-diction of the Remaining Useful Life (RUL) of satellite subsystems and components is fundamental for an effective management of the mission. The accuracy of the RUL ... 详细信息
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Parametric Study of Convolution autoencoder for Reduced-Order Modeling of Turbulent Flow
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IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF MECHANICAL ENGINEERING 2023年 第4期47卷 1679-1691页
作者: Beiki, Alireza Kamali, Reza Shiraz Univ Sch Mech Engn Shiraz *** Fars Iran
In this paper, we analyze the capabilities of several multiscale convolutional autoencoder architectures for reduced-order modeling of two-dimensional unsteady turbulent flow over a cylinder and the collapse of the wa... 详细信息
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autoencoder Neural Network for Detecting Non-human Web Traffic  21st
Autoencoder Neural Network for Detecting Non-human Web Traff...
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21st International Conference on Artificial Intelligence and Soft Computing (ICAISC)
作者: Gabryel, Marcin Lada, Dawid Kocic, Milan Spark Digitup Plac Woln 13 Lok 10 PL-31060 Krakow Poland
In this paper, a neural network model is presented to identify fraudulent visits to a website, which are significantly different from visits of human users. Such unusual visits are most often made by automated softwar... 详细信息
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Convolutional autoencoder based on latent subspace projection for anomaly detection
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METHODS 2023年 第1期214卷 48-59页
作者: Yu, Qien Li, Chen Zhu, Ye Kurita, Takio Chongqing Jiaotong Univ Sch Informat Sci & Engn Chongqing 400074 Peoples R China Nagoya Univ Grad Sch Sci Nagoya 4648602 Japan Deakin Univ Sch Informat Technol Geelong Vic 3125 Australia Hiroshima Univ Grad Sch Adv Sci & Engn Higashihiroshima Hiroshima 7398521 Japan
Image anomaly detection (AD) is widely researched on many occasions in computer vision tasks. High -dimensional data, such as image data, with noise and complex background is still challenging to detect anomalies unde... 详细信息
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