Suchergebnisse - "Denoising autoencoder"

Conditioned fully convolutional denoising autoencoder for multi-target NILM

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

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

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

Dateibeschreibung: print

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

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

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

Quelle: Current Radiopharmaceuticals. 18:224-243

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40237056

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

Autoren: Mohammad Abboush Christoph Knieke Andreas Rausch

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

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

Zugangs-URL: https://doaj.org/article/34c5052e622c4cb18ed2d1499b7ffeea

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

Autoren: Yunseo Jang Joung-Hu Park

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

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

Autoren: Aljon L. Abines Aimee D. Molato

Quelle: 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

Autoren: Shaohua Xie Daren Chen Guangzhong Dong

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

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

Autoren: Özcan Çataltaş

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

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

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

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/045065a2412848b69e82bedb7c7174af

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

Autoren: Wei Xia Jinli Xu Baolei Liu et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/16be299cf6cd47afbe649edb9f74b513

Denoising Autoencoder for Appliance-Specific Energy Disaggregation in Residential Settings

Autoren: Ioannis Papias Loukas Papapetrou Vasilis Michalakopoulos et al.

Quelle: 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

Autoren: Xuan Hoang Nguyen Van-Dinh Nguyen Quang-Trung Luu et al.

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

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

Autoren: Jinchen Li Yunjia Xia Jingyu Lei et al.

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

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

Autoren: Feng Gao Yuting Li Yinghao Zhao et al.

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

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

Autoren: Zhangying He Chelsea William Fernandes Hossein Sayadi

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

VLSI Architecture Design for Compact Shortcut Denoising Autoencoder Neural Network of ECG Signal

Autoren: Shin-Chi Lai Szu-Ting Wang S. M. Salahuddin Morsalin et al.

Quelle: IEEE Transactions on Circuits and Systems I: Regular Papers. 72:1621-1633

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

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

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/86fb1f47d0ef444590d1c051eb05f97e

A channel estimation method using denoising autoencoder for large-scale asymmetric backscatter systems

Autoren: Chae Yoon Jung Jae-Mo Kang Dong In Kim

Quelle: ICT Express, Vol 10, Iss 2, Pp 400-405 (2024)

Schlagwörter: Backscatter communication, 0508 media and communications, Beamforming, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Channel estimation, Deep learning, Denoising autoencoder, Information technology, 02 engineering and technology, T58.5-58.64

Zugangs-URL: https://doaj.org/article/60e6f8807c1e43dc88d5cd7e99775171

Research on Reconstruction Method of Occluded Micro-Expressions Based on Quantized Denoising Autoencoder

Autoren: LIU Hui, GUO Te, LIU Dong, LI Yingying

Quelle: Jisuanji gongcheng, Vol 51, Iss 5, Pp 288-304 (2025)

Schlagwörter: occluded micro-expression recognition, feature reconstruction, optical flow, dynamic image, denoising autoencoder, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250529.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/6dca6ccf5e1149279b8fd4d79d81dcd6

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder

Autoren: Alonso Castro, Serafín Morán Álvarez, Antonio Pérez López, Daniel et al.

Weitere Verfasser: Alonso Castro, Serafín Morán Álvarez, Antonio Pérez López, Daniel et al.

Quelle: BULERIA. Repositorio Institucional de la Universidad de León
Universidad de León

Schlagwörter: Sensor observations, Missing data, 3310.03 Procesos Industriales, Recurrent neural network, 0202 electrical engineering, electronic engineering, information engineering, 3311.01 Tecnología de la Automatización, Denoising autoencoder, Gap imputation, 02 engineering and technology, Ingeniería de sistemas, Multivariate time series

Zugangs-URL: https://hdl.handle.net/10612/19963

ENHANCED ENSEMBLE SEGMENTATION OF LUNG CHEST X-RAY IMAGES BY DENOISING AUTOENCODER AND CLAHE

Autoren: Thamilarasi V Asaithambi A Roselin R

Quelle: ICTACT Journal on Image and Video Processing. 15:3501-3508