Search Results - Sparse denoising autoencoder*

Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine

Authors: Yaluo Zhou Shaochuan Zhang Wenguang Liu et al.

Source: Ironmaking & Steelmaking: Processes, Products and Applications.

Fault diagnosis of aircraft engines based on multi-sensor fusion sparse denoising autoencoder

Authors: ShiJie He Zhi-Ming Wang Kun-Zhi Liu et al.

Source: 2024 43rd Chinese Control Conference (CCC). :4835-4840

Residential Electricity Behavior Classification Model Based on Sparse Denoising Autoencoder And K-Means

Authors: Zhengnan Yao Feishen Wei Yifan Huang

Source: 2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC). :506-510

Early fault detection method for nuclear power plants based on sparse denoising autoencoder and kernel principal component analysis

Authors: Wenzhe Yin Hong Xia Xueying Huang et al.

Source: Annals of Nuclear Energy. 220:111460

Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier

Authors: Jinping Liu Longcheng Xu Yongfang Xie et al.

Source: IEEE Transactions on Cybernetics. 53:428-442

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/34550897
https://ieeexplore.ieee.org/document/9546667

Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering

Authors: Yifan Huang Zhengnan Yao Qifeng Xu

Source: International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109960- (2024)

Subject Terms: Electricity consumption behavior classification, Feature extraction, Autoencoder, Clustering, Secondary classification, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061524001819; https://doaj.org/toc/0142-0615

Access URL: https://doaj.org/article/0a1872f2827a46cdba596421ba762779

SupRes: Facial Image Upscaling Using Sparse Denoising Autoencoder

Authors: Manan Agrawal Mohd Ayaan Anwar Nakul Saroha et al.

Source: 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). :541-546

Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine

Authors: Nana Zhang Shi Ying Kun Zhu et al.

Source: IET Software, Vol 16, Iss 1, Pp 29-47 (2022)

Subject Terms: search problems, QA76.75-76.765, image denoising, feature extraction, 0202 electrical engineering, electronic engineering, information engineering, learning (artificial intelligence), Computer software, 02 engineering and technology, software reliability, particle swarm optimisation

Access URL: https://doaj.org/article/94c27dc242d841799c1222ac593284da
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/sfw2.12029

Suspect Multifocus Image Fusion Based on Sparse Denoising Autoencoder Neural Network for Police Multimodal Big Data Analysis

Authors: Jin Wang Yanfei Gao

Source: Scientific Programming. 2021:1-12

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

File Description: text/xhtml

Access URL: https://downloads.hindawi.com/journals/sp/2021/6614873.pdf
http://downloads.hindawi.com/journals/sp/2021/6614873.pdf
https://dblp.uni-trier.de/db/journals/sp/sp2021.html#WangG21
https://downloads.hindawi.com/journals/sp/2021/6614873.pdf
https://www.hindawi.com/journals/sp/2021/6614873/

A Double-Weighted Deterministic Extreme Learning Machine Based on Sparse Denoising Autoencoder and Its Applications

Authors: Liang Luo Bolin Liao Cheng Hua et al.

Source: Journal of Computer and Communications. 10:138-153

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion

Authors: Swarup Kr Ghosh Biswajit Biswas Anupam Ghosh

Source: Evolutionary Intelligence. 14:133-149

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

Hyperspectral image classification using k-sparse denoising autoencoder and spectral–restricted spatial characteristics

Authors: Rushi Lan Zeya Li Zhenbing Liu et al.

Source: Applied Soft Computing. 74:693-708

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

Access URL: https://dblp.uni-trier.de/db/journals/asc/asc74.html#LanLLGL19
https://www.sciencedirect.com/science/article/pii/S1568494618306057
https://doi.org/10.1016/j.asoc.2018.08.049

RETRACTED: A Novel Day- ahead Electricity Price Forecasting Using multi-modal combined Integration via Stacked Pruning Sparse Denoising Auto Encoder

Authors: Leiming Li Sara Saeedi Bingquan Liu et al.

Source: Energy Reports, Vol 7, Iss, Pp 2201-2213 (2021)

Subject Terms: Electricity Price Forecasting, Sufficient Dimension Reduction, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Deep Neural Network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Stacked pruning sparse denoising autoencoder, Maximum Separation Subspace, 7. Clean energy, Tensor Canonical Correlation Analysis, TK1-9971

Access URL: https://doaj.org/article/3b490787f5db41ffbe39b973c6cbc800
https://www.sciencedirect.com/science/article/abs/pii/S2352484721002249
https://www.sciencedirect.com/science/article/pii/S2352484721002249

Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network

Authors: Pu Yang Chenwan Wen Huilin Geng et al.

Source: Machines, Vol 9, Iss 12, p 360 (2021)

Subject Terms: intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, Mechanical engineering and machinery, TJ1-1570

File Description: electronic resource

Relation: https://www.mdpi.com/2075-1702/9/12/360; https://doaj.org/toc/2075-1702

Access URL: https://doaj.org/article/57fd1ddf636d4ff7816cfd2cd17bcfcf

Low-dose CT restoration via stacked sparse denoising autoencoders

Authors: Yan Liu Yi Zhang

Source: Neurocomputing. 284:80-89

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

Access URL: https://dblp.uni-trier.de/db/journals/ijon/ijon284.html#LiuZ18
https://www.sciencedirect.com/science/article/pii/S0925231218300316
https://doi.org/10.1016/j.neucom.2018.01.015

Spatio-temporal-Aware Sparse Denoising Autoencoder Neural Network for Air Quality Prediction

Authors: Yatian Shen Daojun Han Yan Li et al.

Source: 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS). :96-100

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://dblp.uni-trier.de/db/conf/ccis/ccis2018.html#LiSHSS18

Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection

Authors: Shigang Wang Xiangyuan Zhang Yifan Zhao et al.

Source: Remote Sensing, Vol 16, Iss 17, p 3263 (2024)

Subject Terms: magnetic anomaly detection (MAD), marine noise modeling, self-supervised learning (SSL), sparse denoising autoencoder (SDAE), Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/17/3263; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/9ea907301efc4761bbfcc2d89a02d1ac

Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder

Authors: Zunlin Fan Duyan Bi Linyuan He et al.

Source: Neurocomputing. 243:12-20

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

Access URL: https://dl.acm.org/doi/10.1016/j.neucom.2017.02.066
https://www.sciencedirect.com/science/article/pii/S0925231217303909
http://www.sciencedirect.com/science/article/pii/S0925231217303909
https://dblp.uni-trier.de/db/journals/ijon/ijon243.html#FanBHMGL17

Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

Authors: Changmiao Wang Ahmed Elazab Fucang Jia et al.

Source: BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-19 (2018)

Subject Terms: Chest screening, Computer aided diagnosis, Deep learning, Autoencoder, Receiver operating characteristic, Medical technology, R855-855.5

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s12938-018-0496-2; https://doaj.org/toc/1475-925X

Access URL: https://doaj.org/article/0651ceb9a36e483794499d2f0818af09

Dynamic video anomaly detection and localization using sparse denoising autoencoders

Authors: Medhini G. Narasimhan Sowmya Kamath S.

Source: Multimedia Tools and Applications. 77:13173-13195

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

Access URL: https://link.springer.com/article/10.1007/s11042-017-4940-2
https://doi.org/10.1007/s11042-017-4940-2
https://dblp.uni-trier.de/db/journals/mta/mta77.html#NarasimhanS18