Výsledky vyhledávání - Stacked sparse denoising autoencoder*

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

Autoři: Yaluo Zhou Shaochuan Zhang Wenguang Liu a další

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

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

Autoři: Jinping Liu Longcheng Xu Yongfang Xie a další

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

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

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

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

Autoři: Nana Zhang Shi Ying Kun Zhu a další

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

Témata: 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

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

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

Autoři: Swarup Kr Ghosh Biswajit Biswas Anupam Ghosh

Zdroj: Evolutionary Intelligence. 14:133-149

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

Low-dose CT restoration via stacked sparse denoising autoencoders

Autoři: Yan Liu Yi Zhang

Zdroj: Neurocomputing. 284:80-89

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

Přístupová URL adresa: 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

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

Autoři: Zunlin Fan Duyan Bi Linyuan He a další

Zdroj: Neurocomputing. 243:12-20

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

Přístupová URL adresa: 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

Building feature space of extreme learning machine with sparse denoising stacked-autoencoder

Autoři: Lele Cao Wenbing Huang Fuchun Sun

Zdroj: Neurocomputing. 174:60-71

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijon/ijon174.html#CaoHS16
https://dl.acm.org/doi/10.1016/j.neucom.2015.02.096
https://dl.acm.org/citation.cfm?id=2852657
http://www.sciencedirect.com/science/article/pii/S0925231215011674
https://www.sciencedirect.com/science/article/pii/S0925231215011674

Regularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising Autoencoders

Autoři: Sergey Olegovich Surikov Pavel Vyacheslavovich Skribtsov

Zdroj: American Journal of Applied Sciences. 13:64-72

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

Přístupová URL adresa: http://thescipub.com/pdf/10.3844/ajassp.2016.64.72
https://thescipub.com/abstract/10.3844/ajassp.2016.64.72

Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder

Autoři: Juying Dai Jian Tang Faming Shao a další

Zdroj: Applied Sciences, Vol 9, Iss 13, p 2743 (2019)

Témata: IMFs, multiscale permutation entropy, stacked sparse denoising autoencoder, fault diagnosis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/9/13/2743; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/513f8bf811eb491dab82fad9ce1ea4c2

Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification

Autoři: Thavavel Vaiyapuri Haya Alaskar Liyakathunisa Syed a další

Zdroj: Computers and Electrical Engineering. 103:108292

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

Electricity theft detection based on stacked sparse denoising autoencoder

Autoři: Qifeng Xu Yifan Huang

Zdroj: International Journal of Electrical Power & Energy Systems. 125:106448

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

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S014206151933666X

A stacked convolutional sparse denoising autoencoder model for underwater heterogeneous information data

Autoři: Xuyang Teng Xingmei Wang Zhao Yixu a další

Zdroj: Applied Acoustics. 167:107391

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 14. Life underwater

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0003682X20304953

Prediction of Recurrence using a Stacked Denoising Autoencoder and Multifaceted Feature Analysis of Pretreatment MRI in Patients with Nasopharyngeal Carcinoma.

Autoři: Liu Y Wang X Li J a další

Zdroj: Current radiopharmaceuticals [Curr Radiopharm] 2025; Vol. 18 (3), pp. 224-243.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 101468718 Publication Model: Print Cited Medium: Internet ISSN: 1874-4729 (Electronic) Linking ISSN: 18744710 NLM ISO Abbreviation: Curr Radiopharm Subsets: MEDLINE

Výrazy ze slovníku MeSH: Nasopharyngeal Carcinoma*/diagnostic imaging , Nasopharyngeal Carcinoma*/radiotherapy , Nasopharyngeal Carcinoma*/pathology , Magnetic Resonance Imaging*/methods , Neoplasm Recurrence, Local*/diagnostic imaging , Nasopharyngeal Neoplasms*/diagnostic imaging , Nasopharyngeal Neoplasms*/radiotherapy , Nasopharyngeal Neoplasms*/pathology, Humans ; Female ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Radiotherapy, Intensity-Modulated ; Aged ; Deep Learning ; Autoencoder

Noise reduction in low-dose CT with stacked sparse denoising autoencoders

Autoři: Yi Zhang Yan Wang Kun He a další

Zdroj: 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). :1-2

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

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/8062961/8069358/08069500.pdf?arnumber=8069500
http://ieeexplore.ieee.org/document/8069500/

The optimally designed autoencoder network for compressed sensing

Autoři: Zufan Zhang Yunfeng Wu Chenquan Gan a další

Zdroj: EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-12 (2019)

Témata: Compressed sensing, Stacked sparse denoising autoencoder, Deep learning, Multiple nonlinear measurement, Signal reconstruction, Electronics, TK7800-8360

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13640-019-0460-5; https://doaj.org/toc/1687-5281

Přístupová URL adresa: https://doaj.org/article/8a403d77e24e4e6189172e0d05faf8f3

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

Autoři: Ghosh, Swarup Kr Biswas, Biswajit Ghosh, Anupam

Zdroj: Evolutionary Intelligence; Mar2021, Vol. 14 Issue 1, p133-149, 17p

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

Autoři: Zhang, Nana Ying, Shi Zhu, Kun a další

Zdroj: IET Software (Wiley-Blackwell); Feb2022, Vol. 16 Issue 1, p29-47, 19p

Témata: COMPUTER software quality control, COMPUTER software industry, FEATURE extraction, ELECTRONIC data processing, PARTICLE swarm optimization

SPR: Malicious traffic detection model for CTCS-3 in railways.

Autoři: Siyang Zhou Wenjiang Ji Xinhong Hei a další

Zdroj: High-speed Railway; Jun2025, Vol. 3 Issue 2, p105-115, 11p

Témata: EXTREME learning machines, TRAFFIC monitoring, AUTOENCODERS, INDUSTRIAL controls manufacturing, MACHINE learning

Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder.

Autoři: Dai, Juying Tang, Jian Shao, Faming a další

Zdroj: Applied Sciences (2076-3417); Jul2019, Vol. 9 Issue 13, p2743, 28p

Témata: HILBERT-Huang transform, FAULT diagnosis, ENTROPY (Information theory), PERMUTATIONS, DEEP learning

Korporace: INTERNATIONAL Monetary Fund, SOCIETY of Automotive Engineers

Biologically Inspired Radio Signal Feature Extraction with Sparse Denoising Autoencoders

Autoři: Migliori, Benjamin Zeller-Townson, Riley Grady, Daniel a další

Témata: Statistics - Machine Learning, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1605.05239