Search Results - deep 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

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

Authors: Senyu Zhou Jian Luo Mei Tang et al.

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

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

Access URL: 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

Authors: Xigang Zhao Peng Liu Saïd Mahmoudi et al.

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

Subject Terms: 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)

Access URL: https://doaj.org/article/e210902e3c384e91a1fcd8c59dbacd0b

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

Authors: Xing Cheng Deli Chen Shuaishuai Li et al.

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

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

Access URL: https://doaj.org/article/678c4448230241fc87fe49f3e61edf69

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

Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder

Authors: Seong-Mok Kim Yong Soo Kim

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

Subject Terms: 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

Access URL: https://doaj.org/article/f68405dcd372477890d80807f5899e82

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

Authors: Anila Kousar Saeed Ahmed Abdullah Altamimi et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/a335d3e7b3184d5da05214ba21691b56

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

Authors: Morais, Ana Egger, Jan Alves, Victor et al.

Contributors: Morais, Ana Egger, Jan Alves, Victor et al.

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

File Description: application/pdf

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

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

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

Authors: B. A. Manjunatha K. Aditya Shastry E. Naresh et al.

Source: Soft Computing. 28:4503-4517

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

Authors: Barre Uma Prasanna Vishnu Venkateswarlu Poluboina Sushma B et al.

Source: 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

Authors: Wang, Jun Xie, Xueying Shi, Junchao et al.

Source: Genomics Proteomics & Bioinformatics. 18(4)

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: Haoran Lin Jian Xu Lei Xing et al.

Source: Geophysical Prospecting. 72:1428-1441

Subject Terms: 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

Authors: Raghad Yaseen Lazim Zhu Yun Xiaojun Wu

Source: Signals
Volume 1
Issue 2
Pages 8-156

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: A. Azmat I. Ali W. Ariyanti et al.

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

Subject Terms: 03 medical and health sciences, 0305 other medical science

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

Authors: Zhao, Xigang Liu, Peng Mahmoudi, Saïd et al.

Index Terms: 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

Authors: Raghad Yaseen Lazim Al-Taai Xiaojun Wu

Source: 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

Authors: Yu Liu

Source: Mobile Information Systems. 2021:1-7

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

File Description: text/xhtml

Access URL: 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

Authors: Miguel A. Molina-Cabello Jose A. Rodriguez-Rodriguez Rafaela Benítez-Rochel et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Targeted Voice Enhancement by Bandpass Filter and Composite Deep Denoising Autoencoder

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

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

Subject Terms: 03 medical and health sciences, 0305 other medical science

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

A Bandpass Filter With Multi Deep Denoising Autoencoder for Hearing Applications

Authors: Raghad Yaseen Lazim Xiaojun Wu

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

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

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