Výsledky vyhľadávania - convolutional denoising autoencoder (dae)

Galaxy Model Subtraction with a Convolutional Denoising Autoencoder

Autori: Liu, Rongrong Peng, Eric W. Wang, Kaixiang a ďalší

Predmety: Astrophysics of Galaxies, Instrumentation and Methods for Astrophysics

Prístupová URL adresa: http://arxiv.org/abs/2510.04957

Galaxy Model Subtraction with a Convolutional Denoising Autoencoder

Autori: Rongrong Liu Eric W. Peng Kaixiang Wang a ďalší

Zdroj: The Astrophysical Journal, Vol 994, Iss 2, p 235 (2025)

Predmety: Convolutional neural networks, Astronomy data analysis, Astronomy image processing, Dwarf galaxies, Globular star clusters, Astrophysics, QB460-466

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1538-4357

Prístupová URL adresa: https://doaj.org/article/0580badee5354f009df833443f66c8fd

基于CBDAE 和 TCN-Transformer 的工业传感器时间序列预测.

Alternate Title: Industrial sensor time series prediction based on CBDAE and TCN-Transformer.

Autori: 许涛 南新元 蔡鑫 a ďalší

Zdroj: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). Jul2025, Vol. 17 Issue 4, p455-466. 12p.

Predmety: *Transformer models, Process capability, Autoencoder, Time series analysis, Data scrubbing

On the use of Denoising Autoencoders and Deep Convolutional Adversarial Networks for Automated Removal of Date Stamps

Autori: Anderson, Nicolas Paavola, Mikael Sognnes, Johnny

Dostupnosť: http://hdl.handle.net/11250/2618711

SAR Image Despeckling Based on Convolutional Denoising Autoencoder

Autori: Zhang, Qianqian Sun, Ruizhi

Témy: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2011.14627

Denoising of Underwater Images with Regulated Autoencoders

Autori: Shreya Priyadarshini Roy Maheswari N Sivagami M a ďalší

Témy: Review Article

Robust computationally-efficient wireless emitter classification using autoencoders and convolutional neural networks

Autori: Almazrouei, E Gianini, G Almoosa, N a ďalší

Témy: Classification, Convolutional neural network, Deep Learning, Denoising Autoencoder, IEEE Wi-Fi protocol, LTE, Spectrum management, info:eu-repo/semantics/article

URL: https://hdl.handle.net/10281/454832
info:eu-repo/semantics/altIdentifier/pmid/33915685
info:eu-repo/semantics/altIdentifier/wos/WOS:000638860300001
volume:21
issue:7
firstpage:1
lastpage:25
numberofpages:25
journal:SENSORS

Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network.

Autori: Ting Yan Zhenpeng Yan Lili Liu a ďalší

Zdroj: Frontiers in Computational Neuroscience; 1/10/2023, Vol. 16, p01-12, 12p

Predmety: NOMOGRAPHY (Mathematics), GLIOBLASTOMA multiforme, PROPORTIONAL hazards models, MAGNETIC resonance imaging, RECEIVER operating characteristic curves, SCATTER diagrams

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

Autori: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a ďalší

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

Predmety: EVAPOTRANSPIRATION, AUTOENCODERS, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

Radio Frequency Fingerprint Identification Based on Denoising Autoencoders

Autori: Yu, Jiabao Hu, Aiqun Zhou, Fen a ďalší

Témy: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Cryptography and Security, text

URL: http://arxiv.org/abs/1907.08809

Overcomplete graph convolutional denoising autoencoder for noisy skeleton action recognition.

Autori: Guo, Jiajun Ji, Qingge Shan, Guangwei

Zdroj: IET Image Processing (Wiley-Blackwell); 1/10/2024, Vol. 18 Issue 1, p233-246, 14p

Predmety: SIGNAL denoising, COMPUTER vision

Robust remaining useful life prediction of lithium-ion battery with convolutional denoising autoencoder

Autori: Asri Rizki Yuliani Hilman Ferdinandus Pardede Ade Ramdan a ďalší

Zdroj: Journal of Mechatronics, Electrical Power, and Vehicular Technology, Vol 15, Iss 1, Pp 93-104 (2024)

Predmety: denoising autoencoder (dae), lithium-ion (li-ion) battery, neural network, remaining useful life (rul), system robustness., Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Mechanical engineering and machinery, TJ1-1570

Popis súboru: electronic resource

Relation: https://mev.brin.go.id/mev/article/view/905; https://doaj.org/toc/2087-3379; https://doaj.org/toc/2088-6985

Prístupová URL adresa: https://doaj.org/article/045065a2412848b69e82bedb7c7174af

Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals

Autori: Ahmed Shaheen Liang Ye Chrishni Karunaratne a ďalší

Zdroj: Sensors, Vol 25, Iss 3, p 801 (2025)

Predmety: electrocardiogram (ECG), denoising autoencoder (DAE), convolutional neural network (CNN), self-ONN, U-Net, gated convolution, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/3/801; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/6c1eb10a6b484b3798d3ae24dc1dc88b

Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks

Autori: Xiongjie Jia Yang Han Yanjun Li a ďalší

Zdroj: Energy Reports, Vol 7, Iss , Pp 6354-6365 (2021)

Predmety: Wind turbine, Condition monitoring, Performance forecasting, Denoising autoencoder, Residual attention module, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484721008854; https://doaj.org/toc/2352-4847

Prístupová URL adresa: https://doaj.org/article/bcca1c468954475eafeaa360eef0db96

Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders

Autori: Hsin-Tien Chiang Yi-Yen Hsieh Szu-Wei Fu a ďalší

Zdroj: IEEE Access, Vol 7, Pp 60806-60813 (2019)

Predmety: Electrocardiography, signal denoising, artificial neural networks, denoising autoencoders, fully convolutional network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8693790/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/81f46f96755b468bacc652dd28c48c93

Synthetic Sensor Measurement Generation With Noise Learning and Multi-Modal Information

Autori: Fabrizio Romanelli Francesco Martinelli

Zdroj: IEEE Access, Vol 11, Pp 111765-111788 (2023)

Predmety: Convolutional neural networks (CNNs), deep neural networks (DNNs), denoising autoencoder (DAE), long short-term memory (LSTM), artificial neural networks (ANNs), machine learning (ML), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10278111/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/fa17c1d60b104e9f893f4e18153f2508

Optimal Compensation of MEMS Gyroscope Noise Kalman Filter Based on Conv-DAE and MultiTCN-Attention Model in Static Base Environment

Autori: Zimin Huo Fuchao Wang Honghai Shen a ďalší

Zdroj: Sensors, Vol 22, Iss 19, p 7249 (2022)

Predmety: MEMS gyroscope, convolutional denoising autoencoder, temporal convolutional network, attention mechanism, Particle Swarm Optimization algorithm, Kalman filter, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/19/7249; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/79a9ef9d0a4f43048f76ea2ed9b46ab0

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

Autori: Wei Xia Jinli Xu Baolei Liu a ďalší

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

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

Popis súboru: electronic resource

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

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

Optimized Temporal Denoised Convolutional Autoencoder for Enhanced ADHD Classification Using fMRI Data

Autori: Zarina Begum Kareemulla Shaik

Zdroj: IEEE Access, Vol 13, Pp 29031-29045 (2025)

Predmety: Attention deficit hyperactivity disorder, fMRI images, spatial features, optimized temporal denoised convolutional autoencoder, adaptive osprey optimization, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10877836/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/a8ff8ca9acda4137b99f9fee50cebd36

Robust Computationally-Efficient Wireless Emitter Classification Using Autoencoders and Convolutional Neural Networks

Autori: Ebtesam Almazrouei Gabriele Gianini Nawaf Almoosa a ďalší

Zdroj: Sensors, Vol 21, Iss 7, p 2414 (2021)

Predmety: Deep Learning, Denoising Autoencoders, convolutional neural networks, classification, IEEE Wi-Fi protocols, LTE, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/7/2414; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/5c53cdf3682c40f3b920d15319e09130