Výsledky vyhledávání - deep 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

Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information

Autoři: Senyu Zhou Jian Luo Mei Tang a další

Zdroj: Front Pharmacol
Frontiers in Pharmacology, Vol 16 (2025)

Témata: Pharmacology, CatBoost, cardiovascular disease, evolutionary information, protein–protein interactions, Therapeutics. Pharmacology, RM1-950, deep denoising autoencoder

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40135232
https://doaj.org/article/dfbaf48dbdb74080bd34cd4b29f4c845

DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection

Autoři: Xigang Zhao Peng Liu Saïd Mahmoudi a další

Zdroj: Alexandria Engineering Journal, Vol 108, Iss, Pp 436-444 (2024)

Témata: Time series, Normalizing flow, 0202 electrical engineering, electronic engineering, information engineering, Anomaly detection, Autoencoder, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/e210902e3c384e91a1fcd8c59dbacd0b

A Novel PAPR Reduction Scheme Based on Deep Autoencoder Network for FBMC Systems

Autoři: Xing Cheng Deli Chen Shuaishuai Li a další

Zdroj: IEEE Access, Vol 13, Pp 68948-68958 (2025)

Témata: peak to average power ratio, denoising autoencoder network, deep learning, Filter bank multicarrier, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/678c4448230241fc87fe49f3e61edf69

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

Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder

Autoři: Seong-Mok Kim Yong Soo Kim

Zdroj: IEEE Access, Vol 12, Pp 84323-84332 (2024)

Témata: machine learning, feature extraction, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fault diagnosis, 01 natural sciences, anomaly detection, Acoustic signal processing, automation, TK1-9971, 0104 chemical sciences

Přístupová URL adresa: https://doaj.org/article/f68405dcd372477890d80807f5899e82

Stealthy data integrity attack identification in smart grid networks utilizing deep denoising autoencoder

Autoři: Anila Kousar Saeed Ahmed Abdullah Altamimi a další

Zdroj: Heliyon, Vol 10, Iss 19, Pp e38470- (2024)

Témata: Cyber-physical systems, Cyber assaults, Smart grids, State estimation, Deep denoising autoencoder, Machine learning, Science (General), Q1-390, Social sciences (General), H1-99

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S240584402414501X; https://doaj.org/toc/2405-8440

Přístupová URL adresa: https://doaj.org/article/a335d3e7b3184d5da05214ba21691b56

Automated computer-aided design of cranial implants using a deep volumetric convolutional denoising autoencoder

Autoři: Morais, Ana Egger, Jan Alves, Victor a další

Přispěvatelé: Morais, Ana Egger, Jan Alves, Victor a další

Témata: 3D shape completion, Computer-aided design (CAD), Cranial implant, Deep learning, Denoising autoencoder, Medical imaging

Popis souboru: application/pdf

Relation: 978-3-030-16186-6; 2194-5357

Dostupnost: https://hdl.handle.net/1822/71391

A Network Intrusion Detection Framework on Sparse Deep Denoising Autoencoder for Dimensionality Reduction

Autoři: B. A. Manjunatha K. Aditya Shastry E. Naresh a další

Zdroj: Soft Computing. 28:4503-4517

Speech Intelligibility Enhancement for Cochlear Implant using Multi-Objective Deep Denoising Autoencoder

Autoři: Barre Uma Prasanna Vishnu Venkateswarlu Poluboina Sushma B a další

Zdroj: 2023 IEEE 20th India Council International Conference (INDICON). :173-178

Denoising Autoencoder, A Deep Learning Algorithm, Aids the Identification of A Novel Molecular Signature of Lung Adenocarcinoma

Autoři: Wang, Jun Xie, Xueying Shi, Junchao a další

Zdroj: Genomics Proteomics & Bioinformatics. 18(4)

Témata: Information and Computing Sciences, Machine Learning, Clinical Research, Cancer, Lung Cancer, Lung, Rare Diseases, Genetics, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Adenocarcinoma of Lung, Algorithms, Deep Learning, Humans, Lung Neoplasms, Transcriptome, Denoising autoencoder, Unsupervised learning, Lung cancer, Prognosis, Molecular signature, Mathematical Sciences, Biological Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/91b109pq
https://escholarship.org/content/qt91b109pq/qt91b109pq.pdf

Random noise attenuation of ocean bottom seismometers based on a substep deep denoising autoencoder

Autoři: Haoran Lin Jian Xu Lei Xing a další

Zdroj: Geophysical Prospecting. 72:1428-1441

Témata: 14. Life underwater, 01 natural sciences, 0105 earth and related environmental sciences

Improving Speech Quality for Hearing Aid Applications Based on Wiener Filter and Composite of Deep Denoising Autoencoders

Autoři: Raghad Yaseen Lazim Zhu Yun Xiaojun Wu

Zdroj: Signals
Volume 1
Issue 2
Pages 8-156

Témata: noise reduction, 03 medical and health sciences, Wiener filter, 0103 physical sciences, speech enhancement, 0305 other medical science, 01 natural sciences, hearing aids, deep denoising autoencoder

Popis souboru: application/pdf

Přístupová URL adresa: https://www.mdpi.com/2624-6120/1/2/8/pdf
https://www.mdpi.com/2624-6120/1/2/8/pdf
https://www.mdpi.com/2624-6120/1/2/8

Environmental Noise Reduction based on Deep Denoising Autoencoder

Autoři: A. Azmat I. Ali W. Ariyanti a další

Zdroj: Engineering, Technology & Applied Science Research. 12:9532-9535

Témata: 03 medical and health sciences, 0305 other medical science

DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection

Autoři: Zhao, Xigang Liu, Peng Mahmoudi, Saïd a další

Témata: Article publié dans une revue, révisé par les pairs, Non évalué par les pairs

URL: https://espace2.etsmtl.ca/id/eprint/29368/
https://doi.org/10.1016/j.aej.2024.07.013
https://espace2.etsmtl.ca/id/eprint/29368
https://doi.org/10.1016/j.aej.2024.07.013
10.1016/j.aej.2024.07.013

A Modular Deep Denoising Autoencoder for speech enhancement

Autoři: Raghad Yaseen Lazim Al-Taai Xiaojun Wu

Zdroj: 2022 3rd International Conference for Emerging Technology (INCET). :1-6

Evaluation Algorithm of Teaching Work Quality in Colleges and Universities Based on Deep Denoising Autoencoder Network

Autoři: Yu Liu

Zdroj: Mobile Information Systems. 2021:1-7

Témata: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Popis souboru: text/xhtml

Přístupová URL adresa: https://downloads.hindawi.com/journals/misy/2021/8161985.pdf
https://downloads.hindawi.com/journals/misy/2021/8161985.pdf
https://www.hindawi.com/journals/misy/2021/8161985/
https://doi.org/10.1155/2021/8161985
https://dblp.uni-trier.de/db/journals/mis/mis2021.html#Liu21e

Test time augmentation by regular shifting for deep denoising autoencoder networks

Autoři: Miguel A. Molina-Cabello Jose A. Rodriguez-Rodriguez Rafaela Benítez-Rochel a další

Zdroj: 2021 International Joint Conference on Neural Networks (IJCNN). :1-7

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2021.html#Rodriguez-Rodriguez21

Targeted Voice Enhancement by Bandpass Filter and Composite Deep Denoising Autoencoder

Autoři: Zhu Y Wu Xiaojun Raghad Yaseen Lazim AL-Taai

Zdroj: 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS). :1-6

Témata: 03 medical and health sciences, 0305 other medical science

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icspcs/icspcs2020.html#Al-TaaiXY20

A Bandpass Filter With Multi Deep Denoising Autoencoder for Hearing Applications

Autoři: Raghad Yaseen Lazim Xiaojun Wu

Zdroj: 2020 15th IEEE International Conference on Signal Processing (ICSP). :26-31

Témata: 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/9320895/9320897/09320899.pdf?arnumber=9320899
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9320899