Suchergebnisse - "residual convolutional autoencoder"

Attention model based on one-dimensional residual convolutional autoencoder and GRU for knowledge tracing

Autoren: Lingmei Ai Xiaoying Zhang

Quelle: Multimedia Tools and Applications. 84:23725-23743

Pulsar candidate selection with residual convolutional autoencoder

Autoren: Qian Yin Jiajie Li Xin Zheng et al.

Quelle: Monthly Notices of the Royal Astronomical Society. 516:3082-3091

Schlagwörter: 0103 physical sciences, 01 natural sciences

Residual convolutional autoencoder combined with a non-negative matrix factorization to estimate fetal heart rate

Autoren: Hugo, Lafaye de Micheaux Mariel, Resendiz Bertrand, Rivet et al.

Quelle: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). :1292-1295

Schlagwörter: Electrocardiography, Fetus, Pregnancy, 0206 medical engineering, Disease Progression, Humans, Female, 02 engineering and technology, Heart Rate, Fetal, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36085674

Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method

Autoren: Xiaoming Lei Dionysius M Siringoringo Zhen Sun et al.

Weitere Verfasser: Xiaoming Lei Dionysius M Siringoringo Zhen Sun et al.

Quelle: Structural Health Monitoring. 22:1790-1806

Schlagwörter: Multistep ahead prediction, Structural health monitoring, Deep learning, 02 engineering and technology, Displacement, Cable-stayed bridge, Surrogate model, 0201 civil engineering

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

Autoren: Jianbo Yu Xingkang Zhou

Quelle: IEEE Transactions on Industrial Informatics. 16:6347-6358

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

Zugangs-URL: https://dblp.uni-trier.de/db/journals/tii/tii16.html#YuZ20
https://doi.org/10.1109/TII.2020.2966326
https://ieeexplore.ieee.org/document/8957534/

Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder

Autoren: Pian Jin Biao Wang Lebo Li et al.

Quelle: EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-20 (2022)

Schlagwörter: Underwater acoustic source localization, Semi-supervised learning, Convolutional autoencoder, Self-attentive mechanism, Data mismatch, Telecommunication, TK5101-6720, Electronics, TK7800-8360

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1687-6180

Zugangs-URL: https://doaj.org/article/5868db844de344a8ab00a75dc739b6b5

Radio Galaxy Morphology Generation using Residual Convolutional Autoencoder and Gaussian Mixture Models

Autoren: Zhixian Ma Jie Zhu Weitian Li et al.

Quelle: 2018 25th IEEE International Conference on Image Processing (ICIP). :3044-3048

Schlagwörter: 0103 physical sciences, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/conf/icip/icip2018.html#MaZLX18

Attention model based on one-dimensional residual convolutional autoencoder and GRU for knowledge tracing.

Autoren: Ai, Lingmei Zhang, Xiaoying

Quelle: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p23725-23743, 19p

Schlagwörter: AUTOENCODERS, DEEP learning, ONLINE education, ATTENTION, PROBABILITY theory

A Residual Convolutional Autoencoder-Based Structural Damage Detection Approach for Deep-Sea Mining Riser Considering Data Fusion.

Autoren: Jiang, Yufeng Zheng, Zepeng Liu, Yu et al.

Quelle: Journal of Ocean University of China; Dec2025, Vol. 24 Issue 6, p1657-1669, 13p

RAECAE: A Multi-Scale Attention Residual Convolutional Autoencoder-Based Method for Denoising Vibration Signals of Wind Turbine Rolling Bearings

Autoren: Zhou, Xinxin Zhang, Jinye Zhang, Hongrui et al.

Quelle: 2025 International Joint Conference on Neural Networks (IJCNN) ; page 1-8

Verfügbarkeit: https://doi.org/10.1109/ijcnn64981.2025.11228738
http://xplorestaging.ieee.org/ielx8/11227166/11227148/11228738.pdf?arnumber=11228738

Traffic sign classification with deformable convolution based on denoising residual convolutional autoencoder region localization

Autoren: Pan, Hao Guo, Qianlu Yuan, Decheng et al.

Weitere Verfasser: Pan, Hao Guo, Qianlu Yuan, Decheng et al.

Quelle: Engineering Research Express ; volume 7, issue 4, page 045257 ; ISSN 2631-8695

Verfügbarkeit: https://doi.org/10.1088/2631-8695/ae1886
https://iopscience.iop.org/article/10.1088/2631-8695/ae1886
https://iopscience.iop.org/article/10.1088/2631-8695/ae1886/pdf

BORCAE: Bayesian Optimized Residual Convolutional Autoencoder for Efficient Feedback Compression in RIS-Assisted Time-Varying IoT Networks

Autoren: Bhardwaj, Vikash Kumar Singh, Abhishek Sharma, Shourya et al.

Quelle: IEEE Transactions on Artificial Intelligence ; page 1-7 ; ISSN 2691-4581

Verfügbarkeit: https://doi.org/10.1109/tai.2025.3638329
http://xplorestaging.ieee.org/ielx8/9078688/9184921/11271182.pdf?arnumber=11271182

Pulsar candidate selection with residual convolutional autoencoder.

Autoren: Yin, Qian Li, Jiajie Zheng, Xin et al.

Quelle: Monthly Notices of the Royal Astronomical Society; Oct2022, Vol. 516 Issue 2, p3082-3091, 10p

Schlagwörter: PULSAR detection, DATA distribution, STRUCTURAL frames, DEEP learning, LOGISTIC regression analysis

Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method.

Autoren: Lei, Xiaoming Siringoringo, Dionysius M Sun, Zhen et al.

Quelle: Structural Health Monitoring; May2023, Vol. 22 Issue 3, p1790-1806, 17p

Schlagwörter: LONG-span bridges, CABLE-stayed bridges, WIND pressure, DEBYE temperatures, STRUCTURAL health monitoring

Testing Scenario Identification for Automated Vehicles Based on Deep Unsupervised Learning

Autoren: Shuai Liu Fan Ren Ping Li et al.

Quelle: World Electric Vehicle Journal, Vol 14, Iss 208, p 208 (2023)

Schlagwörter: autonomous driving, scenario identification, naturalistic driving data, one-dimensional residual convolutional autoencoder, optimized K-means algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280

Relation: https://www.mdpi.com/2032-6653/14/8/208; https://doaj.org/toc/2032-6653; https://doaj.org/article/5e4361edf4684782aa3e21ebaae875c6

Verfügbarkeit: https://doi.org/10.3390/wevj14080208
https://doaj.org/article/5e4361edf4684782aa3e21ebaae875c6

Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder.

Autoren: Jin, Pian Wang, Biao Li, Lebo et al.

Quelle: EURASIP Journal on Advances in Signal Processing; 11/8/2022, Vol. 2022 Issue 1, p1-20, 20p

Schlagwörter: ACOUSTIC localization, UNDERWATER acoustics, FEATURE extraction, MACHINE learning

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis.

Autoren: Yu, Jianbo Zhou, Xingkang

Quelle: IEEE Transactions on Industrial Informatics; Oct2020, Vol. 16 Issue 10, p6347-6358, 12p

残差卷积自编码网络无监督迁移轴承故障诊断. (Chinese)

Alternate Title: Unsupervised Transfer Learning with Residual Convolutional Autoencoder Networks for Bearing Fault Diagnosis. (English)

Autoren: 温江涛 张鹏程 孙洁娣 et al.

Quelle: China Mechanical Engineering; 7/25/2022, Vol. 33 Issue 14, p1707-1716, 10p

Schlagwörter: FAULT diagnosis, DEEP learning, ROLLER bearings, DISTRIBUTION (Probability theory), INTELLIGENT tutoring systems

Firma/Körperschaft: CASE Western Reserve University

Coal blocking detection method for underground transfer point conveyor based on MR-CAE.

Autoren: Yu, Yuanhang Zhou, Huaping Sun, Kelei

Quelle: Evolving Systems; Dec2025, Vol. 16 Issue 4, p1-15, 15p

种自适应残差卷积自编码网络及其故障诊断应用. (Chinese)

Alternate Title: Adaptive residual convolutional auto-encoder network and its fault diagnosis application. (English)

Autoren: 潘天成 陈 龙 蒲春雷 et al.

Quelle: Journal of Mechanical & Electrical Engineering; Mar2025, Vol. 42 Issue 3, p529-538, 10p

Schlagwörter: FEATURE extraction, ROLLER bearings, AUTOENCODERS, DIAGNOSIS, STANDARD deviations