Suchergebnisse - "deep-denoising autoencoder"

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

Autoren: Xigang Zhao Peng Liu Saïd Mahmoudi et al.

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

Schlagwörter: 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)

Zugangs-URL: https://doaj.org/article/e210902e3c384e91a1fcd8c59dbacd0b

Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder

Autoren: Seong-Mok Kim Yong Soo Kim

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/f68405dcd372477890d80807f5899e82

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

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

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

Quelle: Soft Computing. 28:4503-4517

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

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

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

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

Autoren: Haoran Lin Jian Xu Lei Xing et al.

Quelle: Geophysical Prospecting. 72:1428-1441

Schlagwörter: 14. Life underwater, 01 natural sciences, 0105 earth and related environmental sciences

Environmental Noise Reduction based on Deep Denoising Autoencoder

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

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

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

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

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

Index Begriffe: 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

Autoren: Raghad Yaseen Lazim Al-Taai Xiaojun Wu

Quelle: 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

Autoren: Yu Liu

Quelle: Mobile Information Systems. 2021:1-7

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

Dateibeschreibung: text/xhtml

Zugangs-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

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

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

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

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

Targeted Voice Enhancement by Bandpass Filter and Composite Deep Denoising Autoencoder

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

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

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

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

A Bandpass Filter With Multi Deep Denoising Autoencoder for Hearing Applications

Autoren: Raghad Yaseen Lazim Xiaojun Wu

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

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

Zugangs-URL: 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

Autoren: Omar M. Saad Yangkang Chen

Quelle: GEOPHYSICS. 85:V367-V376

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

Zugangs-URL: 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

Autoren: Chen, Li-Chin Lin, Yi-Heng Peng, Li-Ning et al.

Schlagwörter: 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)

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

INDUSTRIAL BIG DATA ANALYTICS FOR DEEP DENOISING AUTOENCODER

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

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

Deep Denoising Autoencoder Networks for Hyperspectral Unmixing

Autoren: Keyao Wen Shunmin Zhao Kedi Hu et al.

Quelle: Lecture Notes in Electrical Engineering ISBN: 9789811584107

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

Activity Recognition using Deep Denoising Autoencoder

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

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

Schlagwörter: 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

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

Quelle: Speech Communication. 104:106-112

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

Zugangs-URL: 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

Autoren: Jen-Wei Huang Hsin-Te Hwang Yu Tsao et al.

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

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

Zugangs-URL: 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