Suchergebnisse - "deep denoising autoencoder"

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

Autoren: Montaser Abdelsattar Eman S. Amer Hamdy A. Ziedan et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/f045be58ddd14bdb94eb9e7e5d773a1a

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

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

Autoren: Senyu Zhou Jian Luo Mei Tang et al.

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

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

Zugangs-URL: 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

Autoren: Anila Kousar Saeed Ahmed Zafar A. Khan

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/c07d64219cfc4ae9b433f22acb6ec024

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

Autoren: Anila Kousar Saeed Ahmed Abdullah Altamimi et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/a335d3e7b3184d5da05214ba21691b56

Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images

Autoren: Sheng-Yong Niu Lun-Zhang Guo Yue Li et al.

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

Schlagwörter: 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

Zugangs-URL: 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

Autoren: Raghad Yaseen Lazim Zhu Yun Xiaojun Wu

Quelle: Signals
Volume 1
Issue 2
Pages 8-156

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-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

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

Autoren: Scarpiniti M. Sarv Ahrabi S. Baccarelli E. et al.

Weitere Verfasser: Scarpiniti M. Sarv Ahrabi S. Baccarelli E. et al.

Schlagwörter: 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

Verfügbarkeit: 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

Autoren: Jingmin Yang Shanghui Deng Li Xu et al.

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

Schlagwörter: 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

Verfügbarkeit: 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

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

Quelle: Symmetry
Volume 13
Issue 8

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: 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