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检索条件"主题词=variational autoencoder"
1539 条 记 录,以下是671-680 订阅
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ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization
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BIODATA MINING 2023年 第1期16卷 17-17页
作者: Pan, Weiquan Long, Faning Pan, Jian Yulin Normal Univ Sch Math & Stat Yulin Peoples R China Yulin Normal Univ Sch Comp Sci & Engn Yulin Peoples R China
Single-cell RNA-sequencing (scRNA-seq) data can serve as a good indicator of cell-to-cell heterogeneity and can aid in the study of cell growth by identifying cell types. Recently, advances in variational autoencoder ... 详细信息
来源: 评论
Three Dimensional Microwave Data Inversion in Feature Space for Stroke Imaging
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2024年 第4期43卷 1365-1376页
作者: Guo, Rui Lin, Zhichao Xin, Jingyu Li, Maokun Yang, Fan Xu, Shenheng Abubakar, Aria Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRist Dept Elect Engn Beijing 100084 Peoples R China SLB Houston TX 77056 USA
Microwave imaging is a promising method for early diagnosing and monitoring brain strokes. It is portable, non-invasive, and safe to the human body. Conventional techniques solve for unknown electrical properties repr... 详细信息
来源: 评论
Detection of wind turbine blade abnormalities through a deep learning model integrating VAE and neural ODE
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OCEAN ENGINEERING 2024年 302卷
作者: Yang, Zeyun Xu, Mingqiang Wang, Shuqing Li, Jun Peng, Zhen Jin, Fei Yang, Yuan Ocean Univ China Coll Engn Qingdao Peoples R China Curtin Univ Ctr Infrastructural Monitoring & Protect Sch Civil & Mech Engn Bentley WA Australia Shanghai Invest Design & Res Inst Co Ltd Shanghai 200335 Peoples R China
This paper introduces a novel deep learning model that integrates a variational autoencoder (VAE) and a neural ordinary differential equation (ODE) for detecting abnormalities in wind turbine blades. The deep learning... 详细信息
来源: 评论
Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2024年 73卷 1页
作者: Chen, Yu Tao, Laifa Liu, Xue Ma, Jian Lu, Chen Liu, Hongmei Beihang Univ Sch Reliabil & Syst Engn Beijing 100191 Peoples R China
Intelligent fault diagnosis methods have gained much attention in industry. An important premise of these methods is that the training and test data maintain the same set of fault classes, known as the closed-set hypo... 详细信息
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Anomaly Signal Imputation Using Latent Coordination Relations
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IEEE ACCESS 2024年 12卷 117072-117089页
作者: Chalongvorachai, Thasorn Woraratpanya, Kuntpong King Mongkuts Inst Technol Ladkrabang Sch Informat Technol Bangkok 10520 Thailand
Missing data is a critical challenge in industrial data analysis, particularly during anomaly incidents caused by system equipment malfunctions or, more critically, by cyberattacks in industrial systems. It impedes ef... 详细信息
来源: 评论
A Novel Hybrid Fuzzy-based Deep Convolutional Neural Network for Big-Data-based Hyperspectral Image Classification
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JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY 2024年 第5期68卷
作者: Lei, Boyang Kong, Xianguang Yang, Shengkang Dou, Zhenhuan China State Shipbuilding Corp Ltd CSSC Planning & Dev Res Ctr Beijing 100101 Peoples R China Xidian Univ Sch Mechanoelect Engn Xian 710071 Peoples R China Shaanxi Diesel Heavy Ind Co Ltd Xingping 713100 Peoples R China
Hyperspectral imagery holds a significant level of importance as it provides detailed information about various objects owing to the acquisition of narrow-band information. A hyperspectral image encompasses multiple s... 详细信息
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment
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RESULTS IN ENGINEERING 2025年 25卷
作者: Vijai, Praveen Sivakumar, P. Bagavathi Amrita Vishwa Vidyapeetham Dept Comp Sci & Engn Amrita Sch Comp Coimbatore India
Anomaly detection is critical for enhancing operational efficiency, safety, and maintenance in industrial applications, particularly in the era of Industry 4.0 and IoT. While traditional anomaly detection approaches f... 详细信息
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Nonlinear Slow Feature Analysis for Oscillating Characteristics Under Deep Encoder-Decoder Framework
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2024年 第7期20卷 9568-9578页
作者: Puli, Vamsi Krishna Huang, Biao Univ Alberta Dept Chem & Mat Engn Edmonton T6G 2V4 AB Canada
Slow feature analysis aims to linearly transform measured data into uncorrelated signals that vary from slow to fast. While earlier extensions successfully extracted slow features from nonlinear sequential data, they ... 详细信息
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Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE
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KNOWLEDGE AND INFORMATION SYSTEMS 2024年 第1期66卷 635-652页
作者: Cakir, Mert Yilmaz Sirin, Yahya Istanbul Sabahattin Zaim Univ Comp Sci & Engn TR-34303 Istanbul Turkiye
Fraud detection is a critical task across various domains, requiring accurate identification of fraudulent activities within vast arrays of transactional data. The significant challenges in effectively detecting fraud... 详细信息
来源: 评论
Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained Loss
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IEEE SIGNAL PROCESSING LETTERS 2024年 31卷 1099-1103页
作者: Guerin Jr, Nilson D. da Silva, Renam Castro Macchiavello, Bruno Univ Brasilia Dept Comp Sci BR-70910900 Brasilia Brazil Univ Brasilia Fac UnB Gama BR-72444240 Gama Leste Brazil
In recent years, the crucial task of image compression has been addressed by end-to-end neural network methods. However, achieving fine-grained rate control in this new paradigm has presented challenges. In our previo... 详细信息
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