Search Results - "Deep denoising autoencoder"

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

Authors: Xigang Zhao Peng Liu Saïd Mahmoudi et al.

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

Subject Terms: 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)

Access URL: https://doaj.org/article/e210902e3c384e91a1fcd8c59dbacd0b

Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder

Authors: Seong-Mok Kim Yong Soo Kim

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

Subject Terms: 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

Access URL: https://doaj.org/article/f68405dcd372477890d80807f5899e82

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

Authors: Anila Kousar Saeed Ahmed Abdullah Altamimi et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/a335d3e7b3184d5da05214ba21691b56

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

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

Source: Soft Computing. 28:4503-4517

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

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

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

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

Authors: Haoran Lin Jian Xu Lei Xing et al.

Source: Geophysical Prospecting. 72:1428-1441

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

Environmental Noise Reduction based on Deep Denoising Autoencoder

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

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

Subject Terms: 03 medical and health sciences, 0305 other medical science

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

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

Index Terms: 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

Authors: Raghad Yaseen Lazim Al-Taai Xiaojun Wu

Source: 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

Authors: Yu Liu

Source: Mobile Information Systems. 2021:1-7

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

File Description: text/xhtml

Access 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

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

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Targeted Voice Enhancement by Bandpass Filter and Composite Deep Denoising Autoencoder

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

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

Subject Terms: 03 medical and health sciences, 0305 other medical science

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

A Bandpass Filter With Multi Deep Denoising Autoencoder for Hearing Applications

Authors: Raghad Yaseen Lazim Xiaojun Wu

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

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

Access 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

Authors: Omar M. Saad Yangkang Chen

Source: GEOPHYSICS. 85:V367-V376

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

Access 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

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

Subject Terms: 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)

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

INDUSTRIAL BIG DATA ANALYTICS FOR DEEP DENOISING AUTOENCODER

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

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

Deep Denoising Autoencoder Networks for Hyperspectral Unmixing

Authors: Keyao Wen Shunmin Zhao Kedi Hu et al.

Source: Lecture Notes in Electrical Engineering ISBN: 9789811584107

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

Activity Recognition using Deep Denoising Autoencoder

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

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

Subject Terms: 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

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

Source: Speech Communication. 104:106-112

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access 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

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

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

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

Access 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