Výsledky vyhľadávania - convolution autoencoder

PMSM fault detection using unsupervised learning methods based on conditional convolution autoencoder

Autori: Kozovský, Matúš Buchta, Luděk Blaha, Petr

Zdroj: IECON 2024-50th Annual Conference of the IEEE Industrial Electronics Society

Predmety: autoencoder, conditional convolution, fault diagnostic, permanent magnet synchronous motor (PMSM)

Popis súboru: text; application/pdf

Prístupová URL adresa: http://hdl.handle.net/11012/250793

Enhanced defect detection in thermography through temporal denoising and deep feature extraction using a shallow convolution autoencoder

Autori: Y Naga Prasanthi V S Ghali G T Vesala a ďalší

Zdroj: Insight - Non-Destructive Testing and Condition Monitoring. 67:162-171

NONLINEAR REDUCED ORDER MODELING USING CONVOLUTION AUTOENCODER FOR THE QUASI-GEOSTROPHIC EQUATION

Autori: Xuping Xie

Zdroj: Journal of Machine Learning for Modeling and Computing. 6:65-82

Convolution Autoencoder based Classification Model for Content Based Image Retrieval

Autori: Rishi Rai Dilip Singh Sisodia

Zdroj: Procedia Computer Science. 258:1865-1876

Network Intrusion Detection System Based on Separable Convolution AutoEncoder with Long Short-Term Memory

Autori: Fulin Zhang

Zdroj: 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS). :1-5

A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder

Autori: Xiaoli Zhao Yuanhao Hu Jiahui Liu a ďalší

Zdroj: Structural Health Monitoring. 24:1485-1499

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

Self-Tuning Transfer Dynamic Convolution Autoencoder for Quality Prediction of Multimode Processes With Shifts

Autori: Chao Yang Qiang Liu Chen Wang a ďalší

Zdroj: IEEE Transactions on Industrial Informatics. 20:11295-11305

Identifying Functional Brain Networks under Naturalistic Paradigm via A Three-Dimensional Spatial Attention Convolution Autoencoder

Autori: Yudan Ren Song Yin Zhengyang Liu a ďalší

Zdroj: 2024 IEEE International Symposium on Biomedical Imaging (ISBI). :1-4

Transient voltage stability assessment based on focal loss convolution autoencoder

Autori: L. Zhu Y. Wang C. Shang a ďalší

Zdroj: IET Conference Proceedings. 2023:301-308

Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering

Autori: Chao Chen Hu Lu Haotian Hong a ďalší

Zdroj: IEEE Transactions on Consumer Electronics. 69:974-983

Convolution Autoencoder based Classification Model for Content Based Image Retrieval.

Autori: Rai, Rishi Sisodia, Dilip Singh

Zdroj: Procedia Computer Science. 2025, Vol. 258, p1865-1876. 12p.

Predmety: Content-based image retrieval, Convolutional neural networks, Image recognition (Computer vision), Autoencoders, Binary codes, Deep learning

Parametric Study of Convolution Autoencoder for Reduced-Order Modeling of Turbulent Flow

Autori: Alireza Beiki Reza Kamali

Zdroj: Iranian Journal of Science and Technology, Transactions of Mechanical Engineering. 47:1679-1691

Convolution Autoencoder-Based Sparse Representation Wavelet for Image Classification

Autori: Nguyen, Tan-Sy Ngo, Long Luong, Marie a ďalší

Prispievatelia: Nguyen, Tan-Sy Ngo, Long Luong, Marie a ďalší

Zdroj: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP). :1-6

Predmety: autoencoder, 03 medical and health sciences, 0302 clinical medicine, [SPI] Engineering Sciences [physics], 4. Education, wavelet domain, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, probability residual criterion, Sparse representation classification wavelet domain autoencoder probability residual criterion, Sparse representation classification

Popis súboru: application/pdf

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/mmsp/mmsp2020.html#NguyenNLKB20

Unsupervised Anomaly Detection for Power Batteries: A Temporal Convolution Autoencoder Framework

Autori: Juan Wang Yonggang Ye Minghu Wu a ďalší

Zdroj: Journal of Electrochemical Energy Conversion and Storage. 22

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Fault Feature of Gearbox Vibration Signals Based on Morphological Filter Dynamic Convolution Autoencoder

Autori: Jianbo Yu Jiahuan Huang Changhui Liu a ďalší

Zdroj: IEEE Sensors Journal. 22:22931-22942

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

RCAE_BFV: Retrieve Encrypted Images using Convolution AutoEncoder and BFV

Zdroj: Iraqi Journal of Computer, Communication, Control and System Engineering. :48-61

Industrial Robot Vibration Anomaly Detection Based on Sliding Window One-Dimensional Convolution Autoencoder

Autori: ZhiDan Zhong Yao Zhao AoYu Yang a ďalší

Zdroj: Shock and Vibration, Vol 2022 (2022)

Predmety: 0209 industrial biotechnology, Physics, QC1-999, 02 engineering and technology

Popis súboru: text/xhtml

Prístupová URL adresa: https://doaj.org/article/50222e7ce9b74fe2a3cf7ac57e6b2929

A QUANTUM CONVOLUTION AUTOENCODER FOR HANDWRITTEN LETTERS AND DIGITS: A CASE STUDY.

Autori: SAWERWAIN, MAREK KOWAL, MAREK KORBICZ, JÓZEF

Zdroj: International Journal of Applied Mathematics & Computer Science; 2025, Vol. 35 Issue 4, p651-666, 16p

Abnormal Action Detection of Older Adults Using Graph Convolution Autoencoder

Autori: Sangmin Kim Seoung-Bum Kim

Zdroj: KOREAN MANAGEMENT SCIENCE REVIEW. 39:29-43

Hyperspectral Image Change Detection Based on Multi-Scale 3D Convolution Autoencoder

Autori: Yingjie Tang Yuanze Fan Shou Feng a ďalší

Zdroj: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. :3211-3214

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology