Výsledky vyhledávání - "deep denoising autoencoder"

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

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

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

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

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

Deep denoising autoencoder for seismic random noise attenuation

Autoři: Omar M. Saad Yangkang Chen

Zdroj: GEOPHYSICS. 85:V367-V376

Témata: 13. Climate action, 16. Peace & justice, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: http://ui.adsabs.harvard.edu/abs/2020Geop...85..367S/abstract
https://pubs.geoscienceworld.org/geophysics/article-abstract/85/4/V367/587121/Deep-denoising-autoencoder-for-seismic-random
https://library.seg.org/doi/10.1190/geo2019-0468.1

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

Autoři: Chen, Li-Chin Lin, Yi-Heng Peng, Li-Ning a další

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

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

INDUSTRIAL BIG DATA ANALYTICS FOR DEEP DENOISING AUTOENCODER

Autoři: Dr. G. A. Mylavathi Dr. B. Srinivasan

Témata: Big data, Cyber-physical systems, Deep learning, Industrial big data

Deep Denoising Autoencoder Networks for Hyperspectral Unmixing

Autoři: Keyao Wen Shunmin Zhao Kedi Hu a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811584107

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-981-15-8411-4_62

Activity Recognition using Deep Denoising Autoencoder

Autoři: Mohd Anuaruddin Bin Ahmadon Mohd Halim Mohd Noor Muhammad Khusairi Osman

Zdroj: 2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). :188-192

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Bone-conducted speech enhancement using deep denoising autoencoder

Autoři: Hung-Ping Liu Yu Tsao Chiou-Shann Fuh

Zdroj: Speech Communication. 104:106-112

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/speech/speech104.html#LiuTF18
https://doi.org/10.1016/j.specom.2018.06.002
https://www.sciencedirect.com/science/article/abs/pii/S016763931730345X

Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement

Autoři: Jen-Wei Huang Hsin-Te Hwang Yu Tsao a další

Zdroj: 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). :373-377

Témata: 2. Zero hunger, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/apsipa/apsipa2018.html#ZezarioHLTHW18
https://researchoutput.ncku.edu.tw/zh/publications/deep-denoising-autoencoder-based-post-filtering-for-speech-enhanc
http://dblp.uni-trier.de/db/conf/apsipa/apsipa2018.html#ZezarioHLTHW18
https://doi.org/10.23919/APSIPA.2018.8659598