Výsledky vyhľadávania - "Deep denoising autoencoder"

CNN-LSTM-AM approach for outdoor wireless optical communication systems

Autori: Montaser Abdelsattar Eman S. Amer Hamdy A. Ziedan a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-26 (2025)

Predmety: Deep learning, Bit error rate (BER), Deep denoising autoencoder (DDAE), Convolutional neural network (CNNs), Generative adversarial network (GAN), Gated recurrent unit (GRU), Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/f045be58ddd14bdb94eb9e7e5d773a1a

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

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

A Deep Learning Approach for Real-Time Intrusion Mitigation in Automotive Controller Area Networks

Autori: Anila Kousar Saeed Ahmed Zafar A. Khan

Zdroj: World Electric Vehicle Journal, Vol 16, Iss 9, p 492 (2025)

Predmety: controller area network, cyber-attacks, deep-denoising autoencoder, intrusions mitigation, smart cars, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2032-6653/16/9/492; https://doaj.org/toc/2032-6653

Prístupová URL adresa: https://doaj.org/article/c07d64219cfc4ae9b433f22acb6ec024

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

Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images

Autori: Sheng-Yong Niu Lun-Zhang Guo Yue Li a ďalší

Zdroj: IEEE J Transl Eng Health Med
IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-12 (2022)

Predmety: 0301 basic medicine, 0303 health sciences, Third harmonic generation, Computer applications to medicine. Medical informatics, R858-859.7, Signal-To-Noise Ratio, Article, 03 medical and health sciences, Medical technology, Neural Networks, Computer, R855-855.5, Noise, three-photon fluorescence, deep denoising autoencoder

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36304843
https://doaj.org/article/d7a0b3934bfb49e1bf0445a9f7cc33cd

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

A novel unsupervised approach based on the hidden features of deep denoising autoencoders for COVID-19 disease detection

Autori: Scarpiniti M. Sarv Ahrabi S. Baccarelli E. a ďalší

Prispievatelia: Scarpiniti M. Sarv Ahrabi S. Baccarelli E. a ďalší

Predmety: anomaly detection, computed tomography (CT), convolutional autoencoder, coronavirus disease 2019, COVID-19, deep denoising autoencoder, Feature learning, Pneumonia

Relation: info:eu-repo/semantics/altIdentifier/pmid/34937995; info:eu-repo/semantics/altIdentifier/wos/WOS:000744171900001; volume:192; firstpage:1; lastpage:15; numberofpages:15; journal:EXPERT SYSTEMS WITH APPLICATIONS; http://hdl.handle.net/11573/1600517

Dostupnosť: http://hdl.handle.net/11573/1600517
https://doi.org/10.1016/j.eswa.2021.116366

Calibration-Free 3D Indoor Positioning Algorithms Based on DNN and DIFF

Autori: Jingmin Yang Shanghui Deng Li Xu a ďalší

Zdroj: Sensors, Vol 22, Iss 15, p 5891 (2022)

Predmety: calibration-free, deep denoising autoencoder (DDAE), fingerprint database, signal strength difference (DIFF), 3D indoor positioning, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/22/15/5891; https://doaj.org/toc/1424-8220; https://doaj.org/article/af63a2b2bab5463ab1cedba45273ef78

Dostupnosť: https://doi.org/10.3390/s22155891
https://doaj.org/article/af63a2b2bab5463ab1cedba45273ef78

Speech Enhancement for Hearing Impaired Based on Bandpass Filters and a Compound Deep Denoising Autoencoder

Autori: AL-Taai, Raghad Yaseen Lazim Wu, Xiaojun

Zdroj: Symmetry
Volume 13
Issue 8

Predmety: compound neural network, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, deep learning, bandpass filter, 02 engineering and technology, hearing aid application, 10. No inequality, 01 natural sciences, deep denoising autoencoder

Popis súboru: application/pdf

Prístupová URL adresa: https://www.mdpi.com/2073-8994/13/8/1310/pdf
https://dblp.uni-trier.de/db/journals/symmetry/symmetry13.html#Al-TaaiW21
https://www.mdpi.com/2073-8994/13/8/1310
https://www.mdpi.com/2073-8994/13/8/1310/pdf