Výsledky vyhledávání - bidirectional denoising autoencoder

A denoising autoencoder based on U-Net and bidirectional long short-term memory for multi-level random telegraph signal analysis

Autoři: Deng, Bowen Yang, HeeBong Kim, Na Young a další

Přispěvatelé: Deng, Bowen Yang, HeeBong Kim, Na Young a další

Zdroj: Engineering Applications of Artificial Intelligence ; volume 135, page 108685 ; ISSN 0952-1976

Dostupnost: http://dx.doi.org/10.1016/j.engappai.2024.108685
https://api.elsevier.com/content/article/PII:S0952197624008431?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0952197624008431?httpAccept=text/plain

An improved long short-term memory with denoising autoencoder for solving text classification problems

Autoři: Amani Saleh Alija Nor Adnan Yahaya

Zdroj: Mehran University Research Journal of Engineering and Technology, Vol 43, Iss 3, Pp 66-77 (2024)

Témata: Technology, Engineering (General). Civil engineering (General), TA1-2040, Science

Popis souboru: electronic resource

Relation: https://publications.muet.edu.pk/index.php/muetrj/article/view/3005; https://doaj.org/toc/0254-7821; https://doaj.org/toc/2413-7219

Přístupová URL adresa: https://doaj.org/article/46e1e8cc3b814acda72af8c5e356e1fc

A novel denoising autoencoder hybrid network for remaining useful life estimation of lithium‐ion batteries

Autoři: Wei Xia Jinli Xu Baolei Liu a další

Zdroj: Energy Science & Engineering, Vol 12, Iss 8, Pp 3390-3400 (2024)

Témata: CNN‐BiGRU, denoising autoencoder, lithium‐ion batteries, reconstruction loss, remaining useful life, Technology, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2050-0505

Přístupová URL adresa: https://doaj.org/article/16be299cf6cd47afbe649edb9f74b513

Study on State of Health of Power Battery Prediction Using Denoising Autoencoder and Bidirectional Long Short-Term Memory Networks

Autoři: Bao, Caijilahu Wang, Xin Ma, Zhiqiang a další

Zdroj: 2024 IEEE 7th International Electrical and Energy Conference (CIEEC) ; page 1052-1058

Dostupnost: https://doi.org/10.1109/cieec60922.2024.10583152
http://xplorestaging.ieee.org/ielx8/10582916/10582978/10583152.pdf?arnumber=10583152

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autoři: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a další

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Témata: EVAPOTRANSPIRATION, AUTOENCODER, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

A Prediction Method for Recycling Prices Based on Bidirectional Denoising Learning of Retired Battery Surface Data.

Autoři: Liu, Qian Jiang, Zhigang Duan, Rong a další

Zdroj: Sustainability (2071-1050); Jul2025, Vol. 17 Issue 14, p6284, 24p

A dual-path interactive denoising autoencoder for removing mixed noise in multi-lead electrocardiogram signals.

Autoři: Zhang, Xiuxin Chen, Meng Li, Yongjian a další

Zdroj: Computers & Electrical Engineering. Apr2025:Part B, Vol. 123, pN.PAG-N.PAG. 1p.

Témata: *CONVOLUTIONAL neural networks, *LONG short-term memory, *AUTOENCODERS, *SIGNAL denoising, *INFORMATION sharing

An improved autoencoder for denoising acoustic emission signals in rock fracturing.

Autoři: Wang, Tingting Qin, Yifan Zhao, Wanchun a další

Zdroj: Nondestructive Testing & Evaluation; Jun2025, Vol. 40 Issue 6, p2572-2597, 26p

Témata: ACOUSTIC emission, AUTOENCODERS, STANDARD deviations, DEEP learning, SIGNAL-to-noise ratio, EMISSION control, ACOUSTIC emission testing

A Prediction Method for Recycling Prices Based on Bidirectional Denoising Learning of Retired Battery Surface Data

Autoři: Qian Liu Zhigang Jiang Rong Duan a další

Zdroj: Sustainability. 17:6284

Bidirectional Denoising Autoencoders-Based Robust Representation Learning for Underwater Acoustic Target Signal Denoising

Autoři: Yafen Dong Xiaohong Shen Haiyan Wang

Zdroj: IEEE Transactions on Instrumentation and Measurement. 71:1-8

Témata: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework.

Autoři: Yang, Songxi Peng, Bo Sui, Tang a další

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2717, 28p

Témata: FEATURE extraction, AUTOENCODERS, STRUCTURAL health monitoring, URBAN research, EMERGENCY management

Specific Emitter Identification Scheme for Satellite Communication Based on Bidirectional Feature Fusion Denoising Autoencoder

Autoři: Zhen Guo Kai Huang Jun Ye

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder.

Autoři: Alonso, Serafín Morán, Antonio Pérez, Daniel a další

Zdroj: Integrated Computer-Aided Engineering. 2024, Vol. 31 Issue 2, p157-172. 16p.

Témata: *RECURRENT neural networks, *TIME series analysis, *MISSING data (Statistics)

RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM

Autoři: Yao, Xuejian Zhu, Junjun Jiang, Quansheng a další

Přispěvatelé: Yao, Xuejian Zhu, Junjun Jiang, Quansheng a další

Zdroj: Measurement Science and Technology ; volume 35, issue 3, page 035111 ; ISSN 0957-0233 1361-6501

Dostupnost: https://doi.org/10.1088/1361-6501/ad123c
https://iopscience.iop.org/article/10.1088/1361-6501/ad123c
https://iopscience.iop.org/article/10.1088/1361-6501/ad123c/pdf

Automatic Classification of CAD ECG Signals With SDAE and Bidirectional Long Short-Term Network

Autoři: Eric Ke Wang Xun Zhang Leyun Pan

Zdroj: IEEE Access, Vol 7, Pp 182873-182880 (2019)

Témata: Arrythmia, bidirectional long short-term term network (Bi-LSTM), cost-sensitive learning, denoise, electrocardiogram (ECG), stacked denoising autoencoder (SDAE), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8807206/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/ac9888bad691427cbb2f66a0271862af

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks

Autoři: Erik Marchi Fabio Vesperini Florian Eyben a další

Zdroj: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Témata: ddc:004

Popis souboru: application/pdf

Přístupová URL adresa: https://opus.bibliothek.uni-augsburg.de/opus4/files/72502/72502.pdf
http://dblp.uni-trier.de/db/conf/icassp/icassp2015.html#MarchiVESS15
https://ieeexplore.ieee.org/document/7178320/
https://dblp.uni-trier.de/db/conf/icassp/icassp2015.html#MarchiVESS15
https://mediatum.ub.tum.de/node?id=1253789
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201602255621644984
https://opus.bibliothek.uni-augsburg.de/opus4/files/72502/72502.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72502
https://doi.org/10.1109/icassp.2015.7178320
https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-725021

A Novel Approach for Automatic Acoustic Novelty Detection Using a Denoising Autoencoder with Bidirectional LSTM Neural Networks

Autoři: Marchi, E. Vesperini, F. Eyben, F. a další

Přispěvatelé: Marchi, E. Vesperini, F. Eyben, F. a další

Témata: ddc

Popis souboru: application/pdf

Přístupová URL adresa: https://mediatum.ub.tum.de/doc/1253789/document.pdf

Multi-lingual Handwriting Recovery Framework based on Convolutional Denoising Autoencoder with Attention model

Autoři: Besma Rabhi Abdelkarim Elbaati Houcine Boubaker a další

Zdroj: Multimedia Tools and Applications. 83:22295-22326

A Novel Approach for Automatic Acoustic Novelty Detection Using a Denoising Autoencoder with Bidirectional LSTM Neural Networks

Autoři: Marchi, E. Vesperini, F. Eyben, F. a další

Přispěvatelé: Marchi, E. Vesperini, F. Eyben, F. a další

Témata: info:eu-repo/classification/ddc

Popis souboru: application/pdf

Relation: https://mediatum.ub.tum.de/1253789; https://mediatum.ub.tum.de/doc/1253789/document.pdf

Dostupnost: https://mediatum.ub.tum.de/1253789
https://mediatum.ub.tum.de/doc/1253789/document.pdf

A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation.

Autoři: Fan, Zhengyang Li, Wanru Chang, Kuo-Chu

Zdroj: Mathematics (2227-7390). Dec2023, Vol. 11 Issue 24, p4972. 17p.

Témata: *REMAINING useful life, *TRANSFORMER models, *AIRPLANE motors