Výsledky vyhledávání - bidirectional denoising autoencoder*

Multimodal cloud resources utilization forecasting using a Bidirectional Gated Recurrent Unit predictor based on a power efficient Stacked denoising Autoencoders

Autoři: Hamzaoui Ikhlasse Duthil Benjamin Courboulay Vincent a další

Zdroj: Alexandria Engineering Journal, Vol 61, Iss 12, Pp 11565-11577 (2022)

Témata: Multimodal instances prediction, Stacked Denoising Auto Encoders, Bidirectional Gated Recurrent Unit, Time series, Power efficiency, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016822003295; https://doaj.org/toc/1110-0168

Přístupová URL adresa: https://doaj.org/article/d6a38b36e5104493bdf044e0bfa7d2ed

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

Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory

Autoři: Abdelli, Khouloud Griesser, Helmut Tropschug, Carsten a další

Témata: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2203.12604

Multimodal cloud resources utilization forecasting using a Bidirectional Gated Recurrent Unit predictor based on a power efficient Stacked denoising Autoencoders.

Autoři: Ikhlasse, Hamzaoui Benjamin, Duthil Vincent, Courboulay a další

Zdroj: Alexandria Engineering Journal. Dec2022, Vol. 61 Issue 12, p11565-11577. 13p.

Témata: Deep learning, Forecasting, Time series analysis

Korporace: Amazon Web Services Inc.

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

Zdroj: Engineering Applications of Artificial Intelligence. Sep2024, Vol. 135, pN.PAG-N.PAG. 1p.

Témata: *PINK noise, *SIGNAL denoising, *STANDARD deviations, *SIGNAL-to-noise ratio, *DEEP learning, *WHITE noise

All‐Optical Autoencoder Machine Learning Framework Using Linear Diffractive Processors.

Autoři: Feng, Peijie Tan, Yong Chong, Mingzhe a další

Zdroj: Laser & Photonics Reviews. 8/7/2025, Vol. 19 Issue 15, p1-12. 12p.

Témata: *IMAGE processing, *IMAGE denoising, *OPTICAL computing, *OPTICAL information processing, *IMAGE recognition (Computer vision)

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

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

Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique.

Autoři: Cao, Hao Du, Xiaoyan

Zdroj: PLoS ONE. 4/24/2025, Vol. 20 Issue 4, p1-20. 20p.

Témata: *LONG short-term memory, *AUTOENCODERS, *FEATURE selection, *RUNNING speed, *CONFIDENCE intervals

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

An Enhanced Intrusion Detection System Using Attention-Based Stacked Sparse Autoencoder Feature Extraction.

Autoři: Varanasi, Venkata Ramani Razia, Shaik

Zdroj: Engineering, Technology & Applied Science Research; Aug2025, Vol. 15 Issue 4, p24436-24441, 6p

Témata: INTRUSION detection systems (Computer security), FEATURE extraction, SIGNAL denoising, LONG short-term memory, ARTIFICIAL neural networks, BIG data, MACHINE learning

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

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

Autoři: Caijilahu Bao Xin Wang Zhiqiang Ma a další

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

Enhancing neural signal quality: a spike-denoising model with BiLSTM and attention mechanism.

Autoři: Xu, Xinyu Chen, Nian Deng, Yuhao a další

Zdroj: Brain Informatics; 10/11/2025, Vol. 12 Issue 1, p1-17, 17p

Témata: SIGNAL denoising, LONG short-term memory, MACHINE learning, DATA quality, MICROELECTRODES, ACTION potentials, DEEP learning

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

Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory

Autoři: Khouloud Abdelli Helmut Grieser Carsten Tropschug a další

Zdroj: Journal of Lightwave Technology. 40:2254-2264

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2203.12604

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)