Výsledky vyhledávání - Denoising-Autoencoder*

Conditioned fully convolutional denoising autoencoder for multi-target NILM

Autoři: García, Diego Pérez, Daniel Papapetrou, Panagiotis a další

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

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

Popis souboru: print

Přístupová URL adresa: 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

Autoři: Jaesung Shim Kyuri Jo

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

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

Přístupová URL adresa: https://doaj.org/article/d1728c8ede5b409d99fd3fd94f3d6b9b

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

Autoři: Yibin, Liu Xianwen, Wang Jiongyi, Li a další

Zdroj: Current Radiopharmaceuticals. 18:224-243

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40237056

Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data

Autoři: Timur Sattarov Marco Schreyer Damian Borth

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

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

Přístupová URL adresa: http://arxiv.org/abs/2508.00758

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

Autoři: Yuanxin Lin Zhiwen Yu Kaixiang Yang a další

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

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40126953

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

Autoři: Yabin Zhang Jiehong Lin Ruihuang Li a další

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

Témata: 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

Přístupová URL adresa: 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

Autoři: Mohammad Abboush Christoph Knieke Andreas Rausch

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

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

Přístupová URL adresa: https://doaj.org/article/34c5052e622c4cb18ed2d1499b7ffeea

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

Autoři: Yunseo Jang Joung-Hu Park

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

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

Autoři: Aljon L. Abines Aimee D. Molato

Zdroj: 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

Autoři: Shaohua Xie Daren Chen Guangzhong Dong

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

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

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

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

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

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

Autoři: Özcan Çataltaş

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

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

Autoři: Asri Rizki Yuliani Hilman Ferdinandus Pardede Ade Ramdan a další

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

Témata: 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

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

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: 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

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

Denoising Autoencoder for Appliance-Specific Energy Disaggregation in Residential Settings

Autoři: Ioannis Papias Loukas Papapetrou Vasilis Michalakopoulos a další

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

Robust WiFi Sensing-Based Human Pose Estimation Using Denoising Autoencoder and CNN With Dynamic Subcarrier Attention

Autoři: Xuan Hoang Nguyen Van-Dinh Nguyen Quang-Trung Luu a další

Zdroj: IEEE Internet of Things Journal. 12:17066-17079

Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge

Autoři: Jinchen Li Yunjia Xia Jingyu Lei a další

Zdroj: 2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

Causal analysis enhanced stacked denoising autoencoder for closed-loop industrial process monitoring

Autoři: Feng Gao Yuting Li Yinghao Zhao a další

Zdroj: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :1448-1453

Covariance Matrix Reconstruction Based on Regularized Denoising Autoencoders for Direction-of-Arrival Estimation

Autoři: Gabriel Valenti Moctar Mouhamadou Cyril Decroze

Zdroj: 2025 IEEE International Radar Conference (RADAR). :1-6

Obfuscation-Resistant Hardware Malware Detection: A Stacked Denoising Autoencoder Approach

Autoři: Zhangying He Chelsea William Fernandes Hossein Sayadi

Zdroj: 2025 26th International Symposium on Quality Electronic Design (ISQED). :1-10