Suchergebnisse - "denoising autoencoder network"

Wind turbine generator early fault diagnosis using LSTM-based stacked denoising autoencoder network and stacking algorithm

Autoren: Junshuai Yan Yongqian Liu Hang Meng et al.

Quelle: International Journal of Green Energy. 21:2477-2492

Identification Method for Missing Cotter Pins in Catenary Systems Based on Stacked Denoising Autoencoder Network

Autoren: SHAN Chonghao

Quelle: Chengshi guidao jiaotong yanjiu, Vol 27, Iss 10, Pp 274-279 (2024)

Schlagwörter: Transportation engineering, yolo v5 algorithm, TA1001-1280, catenary, metro, cotter pin, stacked denoising autoencoder

Zugangs-URL: https://doaj.org/article/1e4b6be3a39145f5af24cbf54545d3c4

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

U-Net-Based Denoising Autoencoder Network for De-Speckling in Fetal Ultrasound Images

Autoren: S. Satish N. Herald Anantha Rufus M. Antony Freeda Rani et al.

Quelle: Lecture Notes in Networks and Systems ISBN: 9789819970926

Stacked Denoising Autoencoder network for short-term prediction of electrical Algerian load

Autoren: Chelabi, Hiba Khadir, Mohamed Tarek Chikhaoui, Belkacem

Quelle: 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT). :189-194

Schlagwörter: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Dateibeschreibung: pdf

Zugangs-URL: https://r-libre.teluq.ca/1966/
https://dblp.uni-trier.de/db/conf/codit/codit2020.html#HibaTB20

Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network

Autoren: Ting Yan Zhenpeng Yan Lili Liu et al.

Quelle: Front Comput Neurosci
Frontiers in Computational Neuroscience, Vol 16 (2023)

Schlagwörter: 0301 basic medicine, glioblastoma multiforme, 0303 health sciences, 03 medical and health sciences, denoising autoencoder, deep learning, Neurosciences. Biological psychiatry. Neuropsychiatry, time-dependent ROC curve, Cox proportional hazard regression, survival prediction, RC321-571, Neuroscience, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36704230
https://doaj.org/article/1b901e4cde1f4d28b246bcd3028ee0b6

Partial Discharge Pattern Recognition Based on Stacked Denoising Autoencoder Network: Computer and AI Applications in Power Industry

Autoren: Suya Li Bin Wei Jin He et al.

Quelle: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering. :1-6

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, 13. Climate action, 0502 economics and business, 05 social sciences

Molecular Dynamics Properties without the Full Trajectory: A Denoising Autoencoder Network for Properties of Simple Liquids

Autoren: Alireza Moradzadeh N. R. Aluru

Quelle: The Journal of Physical Chemistry Letters. 10:7568-7576

Schlagwörter: 0103 physical sciences, 01 natural sciences

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/31738568
https://www.ncbi.nlm.nih.gov/pubmed/31738568
https://pubs.acs.org/doi/full/10.1021/acs.jpclett.9b02820
https://par.nsf.gov/servlets/purl/10146996
https://par.nsf.gov/biblio/10146996-molecular-dynamics-properties-without-full-trajectory-denoising-autoencoder-network-properties-simple-liquids
https://pubs.acs.org/doi/10.1021/acs.jpclett.9b02820

Infrared Dim and Small Target Detection Based on Denoising Autoencoder Network

Autoren: Manshu Shi Huan Wang

Quelle: Mobile Networks and Applications. 25:1469-1483

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/monet/monet25.html#ShiW20
https://link.springer.com/10.1007/s11036-019-01377-6
https://link.springer.com/article/10.1007/s11036-019-01377-6
https://doi.org/10.1007/s11036-019-01377-6

Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization

Autoren: Dejun Mu Dawei Guo Hang Liu et al.

Quelle: Multimedia Tools and Applications. 77:4253-4269

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/mta/mta77.html#HuaMGL18
https://link.springer.com/article/10.1007/s11042-017-4702-1
https://doi.org/10.1007/s11042-017-4702-1

A Novel PAPR Reduction Scheme Based on Deep Autoencoder Network for FBMC Systems

Autoren: Xing Cheng Deli Chen Shuaishuai Li et al.

Quelle: IEEE Access, Vol 13, Pp 68948-68958 (2025)

Schlagwörter: peak to average power ratio, denoising autoencoder network, deep learning, Filter bank multicarrier, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Zugangs-URL: https://doaj.org/article/678c4448230241fc87fe49f3e61edf69

Temporal convolutional denoising autoencoder network for air pollution prediction with missing values

Autoren: Santos Kumar Das K. Krishna Rani Samal Korra Sathya Babu

Quelle: Urban Climate. 38:100872

Schlagwörter: 13. Climate action, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 3. Good health, 0105 earth and related environmental sciences

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S2212095521001024

Denoising autoencoder network framework.

Autoren: Likang Bo Meng Li Hua Tan

Schlagwörter: Biochemistry, Biotechnology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, results highlight highlights, proposed method achieves, method &# 8217, low recognition precision, improve signal quality, empirical results demonstrate, data layer using, average diagnostic accuracy, source homogeneous data, source fusion techniques, stator current signals, effectively integrating information, source information, effectively utilize, complementary information, %22">xlink ">, study addresses, robust tool, nonlinear dynamics, multiple sources, induction motors, fused signals, feature extraction

Relation: https://figshare.com/articles/figure/Denoising_autoencoder_network_framework_/29971041

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0330761.g005
https://figshare.com/articles/figure/Denoising_autoencoder_network_framework_/29971041

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model

Autoren: Shuang Mei Yudan Wang Guojun Wen

Quelle: Sensors, Vol 18, Iss 4, p 1064 (2018)

Schlagwörter: fabric defect detection, unsupervised learning, deep neural network, convolutional denoising autoencoder, Gaussian pyramid, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: http://www.mdpi.com/1424-8220/18/4/1064; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/5e389f2bca1348e780347c16d402a82d

Wind turbine generator early fault diagnosis using LSTM-based stacked denoising autoencoder network and stacking algorithm.

Autoren: Yan, Junshuai Liu, Yongqian Meng, Hang et al.

Quelle: International Journal of Green Energy; 2024, Vol. 21 Issue 11, p2477-2492, 16p

Schlagwörter: TURBINE generators, WIND turbines, EARLY diagnosis, ALGORITHMS

A novel malicious domain detection approach based on multi-perspective spatiotemporal alignment learning.

Autoren: JIN, Xueqi XU, Hongquan HUANG, Yinqiang et al.

Quelle: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Aug2025, Vol. 47 Issue 8, p1417-1424. 8p.

Schlagwörter: *CONVOLUTIONAL neural networks, *AUTOENCODERS, *CLASSIFICATION, *PROTOTYPES, *ENCODING

Molecular Dynamics Properties without the Full Trajectory: A Denoising Autoencoder Network for Properties of Simple Liquids.

Autoren: Moradzadeh, Alireza Aluru, N. R.

Quelle: Journal of Physical Chemistry Letters. 12/19/2019, Vol. 10 Issue 24, p7568-7576. 9p.

Infrared Dim and Small Target Detection Based on Denoising Autoencoder Network.

Autoren: Shi, Manshu Wang, Huan

Quelle: Mobile Networks & Applications; Aug2020, Vol. 25 Issue 4, p1469-1483, 15p

Schlagwörter: IMAGE denoising, CONVOLUTIONAL neural networks, INFRARED technology, INFRARED imaging, RECEIVER operating characteristic curves

Temporal convolutional denoising autoencoder network for air pollution prediction with missing values.

Autoren: Samal, K. Krishna Rani Babu, Korra Sathya Das, Santos Kumar

Quelle: Urban Climate. Jul2021, Vol. 38, pN.PAG-N.PAG. 1p.

Partial Discharge Pattern Recognition Based on Stacked Denoising Autoencoder Network: Computer and AI Applications in Power Industry.

Autoren: He, Jin Fang, Qiong Cao, Meng et al.

Quelle: ACM International Conference Proceeding Series; 12/6/2019, p1-6, 6p