Výsledky vyhledávání - noise learning based denoising autoencoder

Noise Learning-Based Denoising Autoencoder

Autoři: Woong-Hee Lee Mustafa Ozger Ursula Challita a další

Zdroj: Lee, W H, Ozger, M, Challita, U & Sung, K W 2021, 'Noise Learning-Based Denoising Autoencoder', IEEE Communications Letters, vol. 25, no. 9, 9462839, pp. 2983-2987. https://doi.org/10.1109/LCOMM.2021.3091800
IEEE Communications Letters

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Noise learning based denoising autoencoder, Precise localization, 02 engineering and technology, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Symbol demodulation, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Signal restoration

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/4234/9531652/09462839.pdf
http://arxiv.org/abs/2101.07937
https://ieeexplore.ieee.org/document/9462839
https://dblp.uni-trier.de/db/journals/corr/corr2101.html#abs-2101-07937

NOISE LEARNING-BASED DENOISING AUTOENCODER

Noise Learning-Based Denoising Autoencoder

Autoři: Lee, Woong-Hee Ozger, Mustafa Challita, Ursula a další

Témata: Noise reduction, Training, Noise measurement, Random variables, Encoding, Decoding, Internet of Things, Machine learning, noise learning based denoising autoencoder, signal restoration, symbol demodulation, precise localization, Signal Processing, Signalbehandling, Telecommunications, Telekommunikation, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302636
IEEE Communications Letters, 1089-7798, 2021, 25:9, s. 2983-2987

Deep Learning-Based Ultrasound Image Despeckling by Noise Model Estimation

Autoři: O. Mahmoudi Mehr M. R. Mohammadi M. Soryani

Zdroj: Iranian Journal of Electrical and Electronic Engineering, Vol 19, Iss 3, Pp 1-13 (2023)

Témata: denoising autoencoder, inception convolutional neural network, speckle noise estimation, ultrasound image denoising., Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: http://ijeee.iust.ac.ir/article-1-2506-en.pdf; https://doaj.org/toc/1735-2827; https://doaj.org/toc/2383-3890

Přístupová URL adresa: https://doaj.org/article/cf16ba037b15452182d57cff407305c0

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise

Autoři: Shams Nafisa Ali Samiul Based Shuvo Muhammad Ishtiaque Sayeed Al-Manzo a další

Zdroj: IEEE Access, Vol 11, Pp 87887-87901 (2023)

Témata: Heart sound, real time denoising, deep learning, denoising autoencoder, cardiovascular diseases, cardiac disease detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10173517/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/c00336d76d50445cbb13b3f6a5d0d114

Development of machine learning-based analysis and processing tools applied to magnetization transfer MRI: Z-spectral denoising and fitting

Autoři: Mohammed Ali, Sajad Lund University, Faculty of Science, Medical Radiation Physics, Lund, Lunds universitet, Naturvetenskapliga fakulteten, Medicinsk strålningsfysik, Lund, Originator Lund University, Faculty of Science, Medical Radiation Physics, Lund, MR Physics, Lunds universitet, Naturvetenskapliga fakulteten, Medicinsk strålningsfysik, Lund, MR Physics, Originator a další

Přispěvatelé: Mohammed Ali, Sajad Lund University, Faculty of Science, Medical Radiation Physics, Lund, Lunds universitet, Naturvetenskapliga fakulteten, Medicinsk strålningsfysik, Lund, Originator Lund University, Faculty of Science, Medical Radiation Physics, Lund, MR Physics, Lunds universitet, Naturvetenskapliga fakulteten, Medicinsk strålningsfysik, Lund, MR Physics, Originator a další

Témata: Medical and Health Sciences, Other Medical and Health Sciences, Other Medical and Health Sciences not elsewhere specified, Medicin och hälsovetenskap, Annan medicin och hälsovetenskap, Övrig annan medicin och hälsovetenskap, Natural Sciences, Computer and Information Sciences, Artificial Intelligence, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Artificiell intelligens, Engineering and Technology, Medical Engineering, Medical Imaging, Teknik, Medicinteknik, Medicinsk bildvetenskap

Popis souboru: electronic

Přístupová URL adresa: https://lucris.lub.lu.se/ws/files/227931572/Thesis_V5_with_cover.pdf

Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection

Autoři: Shigang Wang Xiangyuan Zhang Yifan Zhao a další

Zdroj: Remote Sensing, Vol 16, Iss 17, p 3263 (2024)

Témata: magnetic anomaly detection (MAD), marine noise modeling, self-supervised learning (SSL), sparse denoising autoencoder (SDAE), Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/17/3263; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/9ea907301efc4761bbfcc2d89a02d1ac

Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing

Autoři: Joungmin Choi Je-Keun Rhee Heejoon Chae

Zdroj: IEEE Access, Vol 9, Pp 14540-14548 (2021)

Témata: Cell subtype, classification, gene expression, scRNA-seq, single-cell, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9328422/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/c06a647e432a4c4888cfcf3d9f07d828

Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System

Autoři: Yu-Syuan Jhang Szu-Ting Wang Ming-Hwa Sheu a další

Zdroj: IEEE Access, Vol 10, Pp 57555-57564 (2022)

Témata: Electrocardiogram (ECG), ECG signal enhancement, embedded system, deep learning, denoising autoencoder (DAE), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9784947/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/ed376052a46843e98c2b8e2b0e3aa667

EFFECT OF NOISE REDUCTION ON PLSR MODELING IN NEAR INFRARED SPECTROSCOPY USING DENOISING AUTOENCODER.

Autoři: ÇATALTAŞ, Özcan

Zdroj: New Trends in Computer Sciences; 2025, Vol. 3 Issue 1, p38-48, 11p

Témata: PARTIAL least squares regression, STANDARD deviations, SIGNAL-to-noise ratio, NEAR infrared spectroscopy, AUTOENCODERS

An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments

Autoři: Yahang Qin Zhenni Li Shengli Xie a další

Zdroj: Sensors, Vol 24, Iss 6, p 1959 (2024)

Témata: denoising autoencoder, BDS, NLOS, time series features, urban forest, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/6/1959; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/f9c8008e22264b09984300aac607acb3

Artificial Neural Networks in the Wastewater Industry. From Conventional to Data-based Industrial Control

Autoři: Pisa Dacosta, Ivan

Thesis Advisors: Morell Pérez, Antoni, López Vicario, José, Vilanova i Arbós, Ramon

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Xarxes neuronals artificials, Redes neuronales artificiales, Artificial neural networks, Control automàtic, Control automático, Automatic control, Estacions depuradores d'aigües residuals, Estaciones depuradoras de aguas residuales, Wastewater treatment plants, Tecnologies

Time: 621.3

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/675219

Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning.

Autoři: Chen, Shutian Jiang, Qingchao

Zdroj: IEEE Transactions on Instrumentation & Measurement. 2022, Vol. 71, p1-11. 11p.

Témata: *DISTRIBUTED computing, CHEMICAL processes, FEATURE extraction, NOISE control, COMPUTER simulation, REINFORCEMENT learning, IMAGE denoising

A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT

Autoři: Aboelwafa, Mariam M. N. Seddik, Karim G. Eldefrawy, Mohamed Hamdy a další

Zdroj: IEEE Internet of Things Journal. 7(9):8462-8471

Témata: Correlation, Support vector machines, Security, Training, Noise reduction, Feature extraction, Autoencoders (AEs), false data injection (FDI) attacks, Industrial Internet-of-Things (IIoT) security, machine learning (ML), support vector machine (SVM)

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43561

Towards Adaptive Seizure Prediction using Automatic Electroencephalogram Denoising and Deep Learning Approaches

Contribuições para a Previsão de Crises Epilépticas usando Abordagens de Eliminação Automática de Ruído de Eletroencefalogramas e de Aprendizagem Profunda

Autoři: Lopes, Fábio André da Costa

Témata: Aprendizagem Profunda, Eletroencefalograma, Epilepsia, Previsão de Crises Epilépticas, Remoção de Artefactos, Artefact Removal, Deep Learning, Electroencephalogram, Epilepsy, Seizure Prediction, Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática

Dostupnost: https://hdl.handle.net/10316/114684

Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines

Autoři: YANG Xueqi GAO Xinqin ZHENG Haiyang a další

Zdroj: 工程科学与技术, Vol 57, Pp 326-341 (2025)

Témata: Anchor digging machines, 3D visualization, Health condition monitoring, remaining useful life prediction, Transformer model, Engineering (General). Civil engineering (General), TA1-2040, Hydraulic engineering, TC1-978

Popis souboru: electronic resource

Relation: http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202400743; https://doaj.org/toc/2096-3246

Přístupová URL adresa: https://doaj.org/article/6a9e02db8f794239b3592a00c4e29866

Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders

Autoři: Lichao Wu Stjepan Picek

Zdroj: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2020, Iss 4 (2020)

Témata: side-channel analysis, Deep learning, Noise, Countermeasures, Denoising autoencoder, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://tches.iacr.org/index.php/TCHES/article/view/8688; https://doaj.org/toc/2569-2925

Přístupová URL adresa: https://doaj.org/article/e889e08b3fbc40e9a2681aead4b3faa8

Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery.

Autoři: Li, Yunsong Shi, Yanzi Wang, Keyan a další

Zdroj: IEEE Transactions on Image Processing. 2022, Vol. 31, p1418-1432. 15p.

Témata: DEEP learning, OBJECT recognition (Computer vision), DATA distribution, NOISE control, DETECTORS

Applying Self-Supervised Learning to Image Quality Assessment in Chest CT Imaging

Autoři: Eléonore Pouget Véronique Dedieu

Zdroj: Bioengineering, Vol 11, Iss 4, p 335 (2024)

Témata: self-supervised learning, feature representation learning, convolutional denoising autoencoder, task-based approach, model observer, chest CT image, Technology, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2306-5354/11/4/335; https://doaj.org/toc/2306-5354

Přístupová URL adresa: https://doaj.org/article/fca9f9b211b2416bb4945dbfbb6e15b5

Gait phase recognition of children with cerebral palsy via deep learning based on IMU data from a soft ankle exoskeleton

Autoři: Zhi Pang Zewei Li Ying Li a další

Zdroj: Frontiers in Bioengineering and Biotechnology, Vol 13 (2025)

Témata: children with cerebral palsy, exoskeleton, gait recognition, IMU, deep learning, Biotechnology, TP248.13-248.65

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fbioe.2025.1679812/full; https://doaj.org/toc/2296-4185

Přístupová URL adresa: https://doaj.org/article/2d005d1d3a3a43359a8e8ddf3458db30