Search Results - denoising autoencoder

Conditioned fully convolutional denoising autoencoder for multi-target NILM

Authors: García, Diego Pérez, Daniel Papapetrou, Panagiotis et al.

Source: Neural Computing & Applications. 37(17):10491-10505

Subject Terms: Non-intrusive Load Monitoring, Energy Efficiency, Deep Convolutional Neural Networks, Interpretability, Multi-target NILM models, data- och systemvetenskap, Computer and Systems Sciences

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-237967
https://doi.org/10.1007/s00521-024-10552-0

Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis

Authors: Jaesung Shim Kyuri Jo

Source: IEEE Access, Vol 13, Pp 86333-86343 (2025)

Subject Terms: Adversarial examples, denoising autoencoder, deep learning, Siamese network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/d1728c8ede5b409d99fd3fd94f3d6b9b

A Channel Attention-Based Denoising Autoencoder U-Net and Classifier (UNA-DAEC) for Signal Identification Under Challenging SNR Conditions

Authors: Olalekan Ebo, Ife Ajayi, Idowu Mroueh, Lina et al.

Contributors: Olalekan Ebo, Ife Ajayi, Idowu Mroueh, Lina et al.

Source: IEEE Access, Vol 13, Pp 77317-77333 (2025)

Subject Terms: denoising auto-encoder, [SPI] Engineering Sciences [physics], convolutional neural network, deep learning, Autoencoder, Electrical engineering. Electronics. Nuclear engineering, [INFO] Computer Science [cs], technology classification, time-frequency analysis, channel attention, low-power wireless area network, TK1-9971

Access URL: https://doaj.org/article/28eff17fa53b4f2e95198ac46dc3b9e6

Prediction of Recurrence using a Stacked Denoising Autoencoder and Multifaceted Feature Analysis of Pretreatment MRI in Patients with Nasopharyngeal Carcinoma

Authors: Yibin, Liu Xianwen, Wang Jiongyi, Li et al.

Source: Current Radiopharmaceuticals. 18:224-243

Access URL: https://pubmed.ncbi.nlm.nih.gov/40237056

Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data

Authors: Timur Sattarov Marco Schreyer Damian Borth

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :2478-2489

Subject Terms: Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2508.00758

Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection

Authors: Yuanxin Lin Zhiwen Yu Kaixiang Yang et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:13913-13926

Access URL: https://pubmed.ncbi.nlm.nih.gov/40126953

Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning

Authors: Yabin Zhang Jiehong Lin Ruihuang Li et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:16279-16293

Subject Terms: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://pubmed.ncbi.nlm.nih.gov/40279235
http://arxiv.org/abs/2211.06841

Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering

Authors: Mohammad Abboush Christoph Knieke Andreas Rausch

Source: Results in Engineering, Vol 27, Iss, Pp 105900-(2025)

Subject Terms: Fault detection and clustering, Technology, Back-to-back testing, Deep denoising autoencoder, HIL testing, Real-time validation, Automotive software systems

Access URL: https://doaj.org/article/34c5052e622c4cb18ed2d1499b7ffeea

Remaining-capacity estimation of lithium-ion batteries using heatmap-based denoising autoencoder and vision transformer algorithm

Authors: Yunseo Jang Joung-Hu Park

Source: Journal of Power Electronics. 25:1745-1760

Denoising Autoencoder and Histogram-GLCM Feature Fusion for Image-Based Classification of Locally Made Earthen Ceramic Pots

Authors: Aljon L. Abines Aimee D. Molato

Source: 2025 IEEE Symposium on Industrial Electronics & Applications (ISIEA). :1-7

Robust Lithium-ion Battery SOH Estimation via Denoising Autoencoder-CNN-Transformer with Noisy Multi-Feature Input

Authors: Shaohua Xie Daren Chen Guangzhong Dong

Source: 2025 IEEE 26th China Conference on System Simulation Technology and its Applications (CCSSTA). :942-947

Estimating Heart Rate Variability from Wrist-Worn Photoplethysmography Devices in Daily Activities: A Preliminary Convolutional Denoising Autoencoder Approach

Authors: Gianluca Rho Nicola Carbonaro Marco Laurino et al.

Source: 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). :207-212

Subject Terms: Wrist , Convolution , Time series analysis , Noise reduction , Autoencoders , Electrocardiography , Photoplethysmography , Reliability , Heart rate variability , Biomedical monitoring

File Description: application/pdf

Effect of noise reduction on PLSR modeling in near infrared spectroscopy using denoising autoencoder

Authors: Özcan Çataltaş

Source: New Trends in Computer Sciences. 3:38-48

GENERATION: An Efficient Denoising Autoencoders-Based Approach for Amputated Image Reconstruction: An Efficient Denoising Autoencoders-Based Approach foAmputated Image Reconstruction

Authors: Othman, Leila Ben Niloofar, Parisa Yahia, Sadok Ben

Source: Proceedings of the 16th International Conference on Agents and Artificial Intelligence. :1237-1244

Subject Terms: Denoising Autoencoder, Missing Data Mechanism, 4. Education, Image Reconstruction, Amputation, Data Quality, Imputation

Wireless recording and autoencoder denoising of intestinal activity in freely moving rats

Authors: Yamato Ishii Nobuyoshi Matsumoto Yuji Ikegaya et al.

Source: Journal of Pharmacological Sciences. 158:54-58

Subject Terms: Male, Rats, Sprague-Dawley, Intestines, Animals, Gastrointestinal Motility, Wireless Technology, Rats

Access URL: https://pubmed.ncbi.nlm.nih.gov/40121057

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

Authors: Asri Rizki Yuliani Hilman Ferdinandus Pardede Ade Ramdan et al.

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

Subject Terms: neural network, remaining useful life (rul), denoising autoencoder (dae), lithium-ion (li-ion) battery, TJ1-1570, system robustness, Electrical engineering. Electronics. Nuclear engineering, Mechanical engineering and machinery, 7. Clean energy, TK1-9971

Access URL: https://doaj.org/article/045065a2412848b69e82bedb7c7174af

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

Authors: Timothy K. Johnsen Xiangyu Bi Chunwei Chou et al.

Source: Water Resources Research, Vol 61, Iss 10, Pp n/a-n/a (2025)

Subject Terms: machine learning, denoising autoencoder, sensor noise reduction, uncertainty quantification, evapotranspiration, Environmental sciences, GE1-350

File Description: electronic resource

Relation: https://doaj.org/toc/0043-1397; https://doaj.org/toc/1944-7973

Access URL: https://doaj.org/article/86fb1f47d0ef444590d1c051eb05f97e

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

Authors: Wei Xia Jinli Xu Baolei Liu et al.

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

Subject Terms: Technology, Science, remaining useful life, 02 engineering and technology, 7. Clean energy, 01 natural sciences, 0104 chemical sciences, denoising autoencoder, lithium‐ion batteries, reconstruction loss, 0210 nano-technology, CNN‐BiGRU

Access URL: https://doaj.org/article/16be299cf6cd47afbe649edb9f74b513

Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization

Authors: JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

Source: Shanghai Jiaotong Daxue xuebao, Vol 59, Iss 6, Pp 780-788 (2025)

Subject Terms: Chemical engineering, Naval architecture. Shipbuilding. Marine engineering, status data, VM1-989, TP155-156, TA1-2040, Engineering (General). Civil engineering (General), stacked denoising autoencoder, data cleaning, power equipment

Access URL: https://doaj.org/article/a9b9c95033014d53b01068f2d1ca54df

Denoising Autoencoder for Appliance-Specific Energy Disaggregation in Residential Settings

Authors: Ioannis Papias Loukas Papapetrou Vasilis Michalakopoulos et al.

Source: 2025 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv). :384-389