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检索条件"主题词=autoencoder"
4279 条 记 录,以下是141-150 订阅
XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition
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SIGNAL IMAGE AND VIDEO PROCESSING 2025年 第5期19卷 1-18页
作者: Mohana, M. Subashini, P. Ghinea, George Avinashilingam Inst Ctr Machine Learning & Intelligence Dept Comp Sci Coimbatore India Brunel Univ Dept Comp Sci London England
Facial expression recognition (FER) continues to be a vibrant research field, driven by the increasing need for its practical applications in areas such as e-learning, healthcare, candidate interview analysis, and mor... 详细信息
来源: 评论
Unsupervised temperature-compensated damage localization method based on damage to baseline autoencoder and delay-based probabilistic imaging
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2025年 230卷
作者: Song, Ruijie Sun, Lingyu Gao, Yumeng Wei, Juntao Peng, Chang Fan, Longqing Jiang, Mingshun Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China CRRC Qingdao Sifang Rolling Stock Res Inst Co Ltd Qingdao 26611 Peoples R China Natl Innovat Ctr High Speed Train Qingdao Qingdao 266111 Peoples R China Shandong Res Inst Ind Technol Jinan 250098 Peoples R China
Ultrasonic guided wave-based structural health monitoring (UGW-SHM) technology has a highly efficient damage detection capability. However, changes in environmental factors such as temperature can lead to changes in t... 详细信息
来源: 评论
MTCR-AE: A Multiscale Temporal Convolutional Recurrent autoencoder for unsupervised malicious network traffic detection
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COMPUTER NETWORKS 2025年 261卷
作者: Ahmed, Mukhtar Chen, Jinfu Akpaku, Ernest Sosu, Rexford Nii Ayitey Jiangsu Univ Sch Comp Sci & Commun Engn 301 Xuefu Rd Zhenjiang 212013 Jiangsu Peoples R China Jiangsu Univ Jiangsu Key Lab Secur Technol Ind Cyberspace 301 Xuefu Rd Zhenjiang 212013 Jiangsu Peoples R China Lasbela Univ Agr Water & Marine Sci Qual Enhancement Cell Uthal Pakistan Ghana Commun Technol Univ Fac Comp & Informat Syst Accra Ghana
The increasing sophistication of network attacks, particularly zero-day threats, underscores the need for robust, unsupervised detection methods. These attacks can flood networks with malicious traffic, overwhelm reso... 详细信息
来源: 评论
Asphalt Concrete Mix Design Optimization Using autoencoder Deep Neural Networks
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TRANSPORTATION RESEARCH RECORD 2024年 第1期2678卷 426-438页
作者: Rivera-Perez, Jose Al-Qadi, Imad L. Univ Illinois Dept Civil & Environm Engn Urbana IL 61801 USA Univ Illinois Illinois Ctr Transportat Urbana IL USA
Asphalt concrete (AC) balanced mix design (BMD) is based on the selection of aggregate gradation, component volumetrics, and binder content to control pavement cracking and rutting potential. The Illinois Flexibility ... 详细信息
来源: 评论
Pilot-Free End-to-End Underwater Acoustic Communication System Based on autoencoder
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Journal of Communications and Information Networks 2024年 第3期9卷 233-243页
作者: Yizhe Wang Deqing Wang Liqun Fu School of Informatics and Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of Ministry of EducationXiamen UniversityXiamen 361005China
The long delay spreads and significant Doppler effects of underwater acoustic(UWA)channels make the design of the UWA communication system more *** this paper,we propose a learning-based end-to-end framework for UWA c... 详细信息
来源: 评论
WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained autoencoder
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2024年 第6期36卷 2745-2758页
作者: Guan, Wei Cao, Jian Zhao, Haiyan Gu, Yang Qian, Shiyou Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200240 Peoples R China Univ Shanghai Sci & Technol Shanghai 200093 Peoples R China
The ability to detect anomalies in business processes is crucial for achieving success in business operations. While unsupervised anomaly detection approaches have gained popularity in recent years due to their label-... 详细信息
来源: 评论
Indoor Localization With an autoencoder-Based Convolutional Neural Network
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IEEE ACCESS 2024年 12卷 46059-46066页
作者: Arslantas, Hatice Okdem, Selcuk Erzincan Binali Yildirim Univ Dept Comp Engn TR-24100 Erzincan Turkiye Erciyes Univ Dept Comp Engn TR-38030 Kayseri Turkiye
Nowadays, studies on indoor localization systems based on wireless systems are increasing widely. Indoor localization is the process of determining the location of objects or people inside a building. Global Navigatio... 详细信息
来源: 评论
Abnormal State Detection in Lithium-ion Battery Using Dynamic Frequency Memory and Correlation Attention LSTM autoencoder
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Computer Modeling in Engineering & Sciences 2024年 第8期140卷 1757-1781页
作者: Haoyi Zhong Yongjiang Zhao Chang Gyoon Lim Department of Computer Engineering Chonnam National UniversityYeosu59626South Korea
This paper addresses the challenge of identifying abnormal states in Lithium-ion Battery(LiB)time series *** the energy sector increasingly focuses on integrating distributed energy resources,Virtual Power Plants(VPP)... 详细信息
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Enhancing Estimation Performance in Distributed Sensing Through autoencoder-Based Sensor Array Feature Extraction
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IEEE SENSORS JOURNAL 2024年 第20期24卷 33647-33655页
作者: Wang, Junming Shu, Jing Li, Zheng Tong, Raymond Kai-Yu Chinese Univ Hong Kong Dept Biomed Engn Hong Kong Peoples R China
In the distributed sensing method, various sensor arrays encompass both sensor readings and potential spatial information. While increasing the number of sensors can enhance accuracy, an alternative approach to achiev... 详细信息
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P- and S-Wave Separation in Complex Geological Structures via Knowledge-Guided autoencoder
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2024年 62卷 1页
作者: Lu, Cai Zou, Xuyang Wang, Yunchen Zong, Jingjing Su, Qin Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China Univ Elect Sci & Technol China Sch Resources & Environm Chengdu 611731 Peoples R China
The separation of P- and S-waves is pivotal in the processing of multicomponent seismic data. The complexity of geological structures often leads to intricate P- and S-wavefields, which poses challenges for identifyin... 详细信息
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