Výsledky vyhľadávania - deep-denoising autoencoder~

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

Autori: Xigang Zhao Peng Liu Saïd Mahmoudi a ďalší

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

Predmety: 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)

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

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

Autori: Senyu Zhou Jian Luo Mei Tang a ďalší

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

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

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

Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder

Autori: Seong-Mok Kim Yong Soo Kim

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

Predmety: 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

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

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

Autori: Anila Kousar Saeed Ahmed Abdullah Altamimi a ďalší

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

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

Popis súboru: electronic resource

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

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

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

Autori: B. A. Manjunatha K. Aditya Shastry E. Naresh a ďalší

Zdroj: Soft Computing. 28:4503-4517

Deep Denoising Convolutional Autoencoder-Based Fault Diagnosis of A Centrifugal Pump

Autori: Daniyal Maroufi Ali Sadighi

Zdroj: 2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM). :550-555

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

Autori: Barre Uma Prasanna Vishnu Venkateswarlu Poluboina Sushma B a ďalší

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

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

Autori: Haoran Lin Jian Xu Lei Xing a ďalší

Zdroj: Geophysical Prospecting. 72:1428-1441

Predmety: 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

Autori: Raghad Yaseen Lazim Zhu Yun Xiaojun Wu

Zdroj: Signals
Volume 1
Issue 2
Pages 8-156

Predmety: 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 súboru: application/pdf

Prístupová 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

Autori: A. Azmat I. Ali W. Ariyanti a ďalší

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

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

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

Autori: Mohammad Abboush Christoph Knieke Andreas Rausch

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

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

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

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

Autori: Zhao, Xigang Liu, Peng Mahmoudi, Saïd a ďalší

Témy: 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

Autori: 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

Autori: Yu Liu

Zdroj: Mobile Information Systems. 2021:1-7

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

Popis súboru: text/xhtml

Prístupová 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

Convolutional deep denoising autoencoders for radio astronomical images

Autori: C. Gheller Franco Vazza

Zdroj: Monthly Notices of the Royal Astronomical Society

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, intergalactic medium, large-scale structure of Universe, methods, numerical, 0103 physical sciences, FOS: Physical sciences, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), 01 natural sciences, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/2110.08618
http://arxiv.org/abs/2110.08618
https://dblp.uni-trier.de/db/journals/corr/corr2110.html#abs-2110-08618
https://arxiv.org/abs/2110.08618
https://academic.oup.com/mnras/article/509/1/990/6408492
https://doi.org/10.1093/mnras/stab3044
https://hdl.handle.net/11585/850554

Test time augmentation by regular shifting for deep denoising autoencoder networks

Autori: Miguel A. Molina-Cabello Jose A. Rodriguez-Rodriguez Rafaela Benítez-Rochel a ďalší

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

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

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

DDSA: A Defense Against Adversarial Attacks Using Deep Denoising Sparse Autoencoder

Autori: Yassine Bakhti Sid Ahmed Fezza Wassim Hamidouche a ďalší

Prispievatelia: Yassine Bakhti Sid Ahmed Fezza Wassim Hamidouche a ďalší

Zdroj: IEEE Access, Vol 7, Pp 160397-160407 (2019)

Predmety: [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], security, 02 engineering and technology, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Deep neural network, TK1-9971, defense, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], adversarial attacks, sparse autoencoder, denoising, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

Popis súboru: application/pdf

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08890816.pdf
https://doaj.org/article/ccf330a743dd4252a28c82c0c42ec956
https://univ-rennes.hal.science/hal-02349625v1/document
https://doi.org/10.1109/access.2019.2951526
https://univ-rennes.hal.science/hal-02349625v1

Targeted Voice Enhancement by Bandpass Filter and Composite Deep Denoising Autoencoder

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

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

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

Prístupová 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

Autori: Raghad Yaseen Lazim Xiaojun Wu

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

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

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

Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula

Autori: Chen, Li-Chin Lin, Yi-Heng Peng, Li-Ning a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2306.06865