Výsledky vyhledávání - "Contractive Autoencoder"

A COMPARATIVE STUDY OF DIVERSE AUTOENCODER MODELS IN LOCAL GEAR PITTING FAULT DIAGNOSIS

Autoři: Mustafa Yurtsever Rafet Can Ümütlü Hasan Öztürk

Zdroj: Volume: 13, Issue: 159-73
Konya Mühendislik Bilimleri Dergisi
Konya Journal of Engineering Sciences

Témata: Dinamikler, Titreşim ve Titreşim Kontrolü, Dynamics, Vibration and Vibration Control, Contractive Autoencoder, Sparse Autoencoder, Variational Autoencoder, Local Gear Pitting, Fault Diagnosis

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.deu.edu.tr/publication/details/9a6ec6bd-8c5c-488c-b870-eaf9c1b53c17/oai
https://dergipark.org.tr/tr/pub/konjes/issue/90599/1571234

Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE

Autoři: Çakır, Mert Yılmaz Şirin, Yahya

Zdroj: Knowledge and Information Systems. 66:635-652

Témata: Variational Autoencoder, Fraud Detection, 0202 electrical engineering, electronic engineering, information engineering, Contractive Autoencoder, Autoencoder, Noise Factor Encoding, 02 engineering and technology, SMOTE

Popis souboru: application/pdf

Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities

Autoři: Saima Latif Nadeem Javaid Faheem Aslam a další

Zdroj: Heliyon, Vol 10, Iss 6, Pp e27747- (2024)

Témata: Bayesian optimization, Contractive autoencoder, Ensemble empirical mode decomposition, Peephole LSTM, Stock market prediction, Temporal attention layer, Science (General), Q1-390, Social sciences (General), H1-99

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024037782; https://doaj.org/toc/2405-8440

Přístupová URL adresa: https://doaj.org/article/094a73a173a74f8882121abbb165ae4b

IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder

Autoři: Abdelghani Azri Adil Haddi Hakim Allali

Zdroj: Information, Vol 15, Iss 4, p 204 (2024)

Témata: recommendation, collaborative filtering, matrix factorization, deep learning, contractive autoencoder, feature extraction, Information technology, T58.5-58.64

Relation: https://www.mdpi.com/2078-2489/15/4/204; https://doaj.org/toc/2078-2489; https://doaj.org/article/3eb536a5e7a540d0b1fc18894dcbc6eb

Dostupnost: https://doi.org/10.3390/info15040204
https://doaj.org/article/3eb536a5e7a540d0b1fc18894dcbc6eb

Transformer Fault Diagnosis Method Based on DCAE-KSSELM

Autoři: Lingling HAO Yongli ZHU Yongzheng WANG

Zdroj: Zhongguo dianli, Vol 55, Iss 2, Pp 125-130 (2022)

Témata: transformer, fault diagnosis, unlabeled sample, contractive autoencoder, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202111003; https://doaj.org/toc/1004-9649

Přístupová URL adresa: https://doaj.org/article/108c30d8fc1f41dfbe833628b0fdd0a5

Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization

Autoři: Shi Ying Kun Zhu Xu Wang a další

Zdroj: Computers, Materials & Continua. 65:279-308

Témata: Multi-objective optimization, SDG 16 - Peace, Extreme learning machine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Deep neural network, Stacked contractive autoencoder, Software defect prediction, Justice and Strong Institutions

Přístupová URL adresa: https://www.narcis.nl/publication/RecordID/oai%3Aresearch.vu.nl%3Apublications%2Fdc0b4190-61bd-420f-a354-00029264f2ea
http://www.techscience.com/cmc/v65n1/39566/pdf
https://www.techscience.com/cmc/v65n1/39566/pdf
https://research.vu.nl/en/publications/software-defect-prediction-based-on-stacked-contractive-autoencod

Improved Combined Inertial Control of Wind Turbine Based on CAE and DNN for Temporary Frequency Support

Autoři: Ziyang Ji Jie Zhang Yi Liu a další

Zdroj: Applied Sciences, Vol 13, Iss 12, p 6984 (2023)

Témata: primary frequency regulation, combined inertial control, particle swarm optimization, contractive autoencoder, deep neural network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/12/6984; https://doaj.org/toc/2076-3417; https://doaj.org/article/250537e6a426446c91277d1fd447761d

Dostupnost: https://doi.org/10.3390/app13126984
https://doaj.org/article/250537e6a426446c91277d1fd447761d

An Intelligent Intrusion Detection System Using Hybrid Deep Learning Approaches in Cloud Environment

Autoři: Sharon, Andrea Mohanraj, Prarthna Abraham, Tanya, Elizabeth a další

Přispěvatelé: Sharon, Andrea Mohanraj, Prarthna Abraham, Tanya, Elizabeth a další

Zdroj: IFIP Advances in Information and Communication Technology ; 6th International Conference on Computer, Communication, and Signal Processing (ICCCSP) ; https://inria.hal.science/hal-04388151 ; 6th International Conference on Computer, Communication, and Signal Processing (ICCCSP), Feb 2022, Chennai, India. pp.281-298, ⟨10.1007/978-3-031-11633-9_20⟩

Témata: Attack detection, Bi-directional LSTM with dropout and attention layer, Cloud computing, Distributed denial of service, Long short-term memory, One-hot encoding, Sparse autoencoder - stacked contractive autoencoder, [INFO]Computer Science [cs]

Geografické téma: Chennai, India

Dostupnost: https://inria.hal.science/hal-04388151
https://inria.hal.science/hal-04388151v1/document
https://inria.hal.science/hal-04388151v1/file/527508_1_En_20_Chapter.pdf
https://doi.org/10.1007/978-3-031-11633-9_20

Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling

Autoři: Cappelletti, Luca Fontana, Tommaso Donato, Guido Walter Di a další

Přispěvatelé: Cappelletti, Luca Fontana, Tommaso Donato, Guido Walter Di a další

Témata: Contractive autoencoder, Convolutional neural network, Data imputation, Genome gap filling, Settore INF/01 - Informatica

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000551218000019; volume:9; issue:2; firstpage:1; lastpage:31; numberofpages:31; journal:COMPUTERS; https://hdl.handle.net/2434/734682

Dostupnost: https://hdl.handle.net/2434/734682
https://doi.org/10.3390/computers9020037

Investigação do desempenho do planejador de trajetórias Motion Planning Networks ; Investigation of the performance of the motion planner Motion Planning Networks

Autoři: Moura, Jhonas Prado Julia, Rita Maria da Silva http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788590Z8&tokenCaptchar=03AGdBq27uNSjCfOU1pWC4RAdyLYVwhGmgYEuodMDgxK4924tnSzmfIBqsfI1pFCgf6ZnvwdkfNSEIkT2Z6Epd5aRtpsLRAj9XFTOj7cy0V54_Fj5EbusfaO89OqOwthnjJX5lH3xvEsXa8uXqrXvA6-XqqW6Vw5fzZb19FGejVczKEP7TH1jWDbMZRH_AFOCB8OX4dYjcPkKL3O2Qb3rBUT449HYOkMobZOzCxWBkHj8PYM3Oo4U4Z9szCTyBEIRqQoy5jHAphzRPp2HyfqRWlZdkoGS-pWyQqSLT1oC7DYusPCllNAMNkqFz-hkcgOAnmvrSMsJPuNG0k9n6raVjkVACeIdWtuligiKAB8aSkRk2uMoanSTsCArtXSNKeEhBiX0iaqNXjp1zYcQA0a18CfdXdNe8uPQ0dCeXXxPGd276QCO4bPnAalrmPwLuDXgwbJX-u_3DqZ3fAGUFcoK8uTWzHQt5TI5HNQ a další

Přispěvatelé: Moura, Jhonas Prado Julia, Rita Maria da Silva http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788590Z8&tokenCaptchar=03AGdBq27uNSjCfOU1pWC4RAdyLYVwhGmgYEuodMDgxK4924tnSzmfIBqsfI1pFCgf6ZnvwdkfNSEIkT2Z6Epd5aRtpsLRAj9XFTOj7cy0V54_Fj5EbusfaO89OqOwthnjJX5lH3xvEsXa8uXqrXvA6-XqqW6Vw5fzZb19FGejVczKEP7TH1jWDbMZRH_AFOCB8OX4dYjcPkKL3O2Qb3rBUT449HYOkMobZOzCxWBkHj8PYM3Oo4U4Z9szCTyBEIRqQoy5jHAphzRPp2HyfqRWlZdkoGS-pWyQqSLT1oC7DYusPCllNAMNkqFz-hkcgOAnmvrSMsJPuNG0k9n6raVjkVACeIdWtuligiKAB8aSkRk2uMoanSTsCArtXSNKeEhBiX0iaqNXjp1zYcQA0a18CfdXdNe8uPQ0dCeXXxPGd276QCO4bPnAalrmPwLuDXgwbJX-u_3DqZ3fAGUFcoK8uTWzHQt5TI5HNQ a další

Témata: Planejamento de trajetórias, Motion planning, Autoencoder, Perceptron de múltiplas camadas, Multilayer perceptron, RRT, Motion planning networks, Aprendizado de máquina, Machine learning, Contractive autoencoder, CNPQ::OUTROS::ENGENHARIA MECATRONICA

Popis souboru: application/pdf

Relation: https://repositorio.ufu.br/handle/123456789/32476

Dostupnost: https://repositorio.ufu.br/handle/123456789/32476

Advanced Techniques for Unsupervised Classification of Remote Sensing Hyperspectral Images

Autoři: Hassanzadeh, Aidin Paulus, Dietrich Krähenbühl, Philipp a další

Přispěvatelé: Hassanzadeh, Aidin Paulus, Dietrich Krähenbühl, Philipp a další

Témata: hyperspectral images, remote sensing, unsupervised classification, geodesic distance, local outlier factor, manifold learning, multi-manifold, local tangent estimation, tangential similarity, weighted principal component analysis, contractive autoencoder, spectral clustering, mini-batch k-means, fi=School of Engineering Science, Laskennallinen tekniikka|en=School of Engineering Science, Computational Engineering

Popis souboru: fulltext

Relation: Acta Universitatis Lappeenrantaensis; http://lutpub.lut.fi/handle/10024/159424

Dostupnost: http://lutpub.lut.fi/handle/10024/159424

Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping.

Autoři: Guo M Ye X Huang D a další

Zdroj: Methods (San Diego, Calif.) [Methods] 2025 Jan; Vol. 233, pp. 52-60. Date of Electronic Publication: 2024 Nov 20.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Academic Press Country of Publication: United States NLM ID: 9426302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9130 (Electronic) Linking ISSN: 10462023 NLM ISO Abbreviation: Methods Subsets: MEDLINE

Výrazy ze slovníku MeSH: Neoplasms*/genetics , Neoplasms*/metabolism , Neoplasms*/classification, Humans ; Cluster Analysis ; Proportional Hazards Models ; Genomics/methods ; Algorithms ; Multiomics

SCDD: a novel single-cell RNA-seq imputation method with diffusion and denoising.

Autoři: Liu J Pan Y Ruan Z a další

Zdroj: Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE

Výrazy ze slovníku MeSH: Gene Expression Profiling* , Single-Cell Analysis*/methods, Cluster Analysis ; RNA-Seq ; Sequence Analysis, RNA/methods ; Exome Sequencing