Výsledky vyhledávání - Autoencoder applications

Autoencoders: application to forecasting

Autoři: Alves, Jorge Miguel Mendes

Témata: Automodeladores, Modelos de previsão

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10216/59109

Fusion-aware quantum variational autoencoder for brain-heart signal modeling in mental health applications

Autoři: Ayesha Jabbar Huang Jianjun Muhammad Kashif Jabbar a další

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 9, Pp 1-21 (2025)

Témata: Quantum computing, Variational autoencoder, Brainwave recognition, Mental health, Internet of things, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Přístupová URL adresa: https://doaj.org/article/f87a6c5e49ce4ca892e29cdce81c4624

Trends and applications of variational autoencoders in medical imaging analysis.

Autoři: Yeoh PSQ Hasikin K Wu X a další

Zdroj: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2025 Dec; Vol. 126, pp. 102647. Date of Electronic Publication: 2025 Oct 09.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0771 (Electronic) Linking ISSN: 08956111 NLM ISO Abbreviation: Comput Med Imaging Graph Subsets: MEDLINE

Výrazy ze slovníku MeSH: Diagnostic Imaging*/methods , Diagnostic Imaging*/trends , Deep Learning* , Image Processing, Computer-Assisted*/methods, Humans ; Artificial Intelligence ; Magnetic Resonance Imaging ; Autoencoder

Feature-Shuffle and Multi-Head Attention-Based Autoencoder for Eliminating Electrode Motion Noise in ECG Applications.

Autoři: Wang ST Hsu WY Lai SC a další

Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Oct 13; Vol. 25 (20). Date of Electronic Publication: 2025 Oct 13.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Výrazy ze slovníku MeSH: Electrocardiography*/methods, Humans ; Electrodes ; Signal-To-Noise Ratio ; Signal Processing, Computer-Assisted ; Artifacts ; Motion ; Algorithms ; Deep Learning ; Autoencoder

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications

Autoři: Nalineekumari Arasavali Mogadala Vinod Kumar Sasibhushana Rao Gottapu a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: Satellite selection, Quantum convolutional autoencoder, GNSS, Combined constellation, Sustainable Development Goal (SDG) 9:Industry, Innovation, and Infrastructure, SDG 11: Sustainable Cities and Communities, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/baf00827405b4ae7bdeb1dbfabf77448

Latent Space Classification for Cardiovascular Disease Detection: A Deep Convolutional Autoencoder-Based Approach for Telemedicine Applications

Autoři: G Antoni Gracy Sheena Christabel Pravin

Zdroj: IEEE Access, Vol 13, Pp 129195-129212 (2025)

Témata: Cardio-vascular diseases, deep convolutional autoencoders, latent space classification system, telemedicine, MIT-BIH arrhythmia database, energy efficiency, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11036781/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/673f3d321fcf4c7db059c82fb5f3960a

Application of the variational autoencoder to detect the critical points of the anisotropic Ising model

Autoři: Baul, Anshumitra Walker, Nicholas Moreno, Juana a další

Zdroj: Physical Review E. 107(4)

Témata: Mathematical Physics, Quantum Physics, Mathematical Sciences, Physical Sciences, Engineering, Mathematical sciences, Physical sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/3m87n5w3
https://escholarship.org/content/qt3m87n5w3/qt3m87n5w3.pdf

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification.

Autoři: Zhang Q Hu S Wang H a další

Zdroj: Integrative zoology [Integr Zool] 2025 Nov 18. Date of Electronic Publication: 2025 Nov 18.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Australia NLM ID: 101492420 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1749-4877 (Electronic) Linking ISSN: 17494869 NLM ISO Abbreviation: Integr Zool Subsets: MEDLINE

ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases.

Autoři: Zheng Q Nan P Cui Y a další

Zdroj: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2025 Jul; Vol. 267, pp. 108801. Date of Electronic Publication: 2025 Apr 23.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE

Výrazy ze slovníku MeSH: Connectome*/methods , Brain*/diagnostic imaging , Brain Diseases*/diagnostic imaging , Brain Diseases*/diagnosis, Humans ; Magnetic Resonance Imaging ; Deep Learning ; Autism Spectrum Disorder/diagnostic imaging ; Alzheimer Disease/diagnostic imaging ; Male ; Female ; Algorithms ; Autoencoder

Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data

Autoři: Gwangwoo Kim Hyonho Chun

Zdroj: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)

Témata: Deep learning-based nonlinear dimension reduction, Variational autoencoder, Uniform manifold approximation and projection, Single-cell RNA sequencing data, Covariate effect, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/f2f238b70205471c9f8cef9ef571f21f

Haplotype-based autoencoders can reduce the dataset dimension and estimate haplotype block effects in different crop species

Autoři: Philipp Georg Heilmann Emanuel Grosch Matthias Frisch a další

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-18 (2025)

Témata: Plant breeding, Machine learning, Genomic prediction, Neural networks, Autoencoders, Dimensionality reduction, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/a84fa3afa45a4e188202f0cffe63ba85

Bayesian autoencoders for anomaly detection : design, uncertainty quantification, and explainability with industrial applications

Autoři: Yong, Bang Xiang Brintrup, Alexandra

Přispěvatelé: Yong, Bang Xiang Brintrup, Alexandra

Témata: anomaly detection, bayesian autoencoder, explainable ai, uncertainty quantification, unsupervised neural networks

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.871684

ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction

Autoři: Xinqing Jiang Xiaojun Chen Lifeng Xu a další

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-18 (2025)

Témata: Epigenomics, snoRNA-disease associations (SDAs), Ensemble learning framework, Sparse autoencoder, Dynamically sampling, Artificial intelligence (AI), Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/4a1813752009454491f25e2b31390236

Application of Autoencoder Interpolation to Enhance the Accuracy of Single-Cell Transcriptomic Analysis in Early Porcine Embryos

Autoři: Zehang HUANG Zhiqiang DU

Zdroj: Guangdong nongye kexue, Vol 51, Iss 1, Pp 97-107 (2024)

Témata: porcine, early embryo, single-cell transcriptome, in-dept learning, autoencoder, Agriculture

Popis souboru: electronic resource

Relation: http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202401010; https://doaj.org/toc/1004-874X

Přístupová URL adresa: https://doaj.org/article/763bae0460da4007b1302b0c40c4048d

Dual-Masked Autoencoders: Application to Multi-Labeled Pediatric Thoracic Diseases

Autoři: Taeyoung Yoon Daesung Kang

Zdroj: IEEE Access, Vol 12, Pp 87981-87990 (2024)

Témata: Adult chest X-rays, dual-masked autoencoders, masked autoencoders, pediatric chest X-rays, pediatric thoracic diseases, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10570434/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/f3e88d3be0c84605884a57f9a331baea

Prediction of hysteretic matric potential dynamics using artificial intelligence: application of autoencoder neural networks

Autoři: N. Aqel L. Reusser S. Margreth a další

Zdroj: Geoscientific Model Development, Vol 17, Pp 6949-6966 (2024)

Témata: Geology, QE1-996.5

Popis souboru: electronic resource

Relation: https://gmd.copernicus.org/articles/17/6949/2024/gmd-17-6949-2024.pdf; https://doaj.org/toc/1991-959X; https://doaj.org/toc/1991-9603

Přístupová URL adresa: https://doaj.org/article/97876182f77c4f338513209b2a4d7def

Autoencoders for Physical-Layer Communications: Approaches and Applications

Autoři: Song, Jinxiang, 1995

Zdroj: Frigöra full fiberoptisk kapacitet.

Témata: machine learning, equalization., hardware impairments, digital signal processing, neural networks, physical-layer communications, autoencoders

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/539104
https://research.chalmers.se/publication/539104/file/539104_Fulltext.pdf

Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN

Autoři: Ming Zeng Min Wang Fuqiang Xie a další

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-29 (2025)

Témata: Drug-target interaction, Dynamic weighting convolutional residual connection, Dual self-supervised joint training mechanism, Graph convolutional autoencoder, Generative adversarial network, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/c9b441325e6d409dbc981ebfca8af0c6

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network

Autoři: Gianina Chirosca Roxana Radvan Matei Pop a další

Zdroj: Applied Sciences, Vol 15, Iss 16, p 9014 (2025)

Témata: craquelure detection, convolutional neural networks, image processing, 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/2076-3417/15/16/9014; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/0c411f6328ac45c29e22cd00b317ec70

Transfer learning applications for autoencoder-based anomaly detection in wind turbines

Autoři: Cyriana M.A. Roelofs Christian Gück Stefan Faulstich

Zdroj: Energy and AI, Vol 17, Iss , Pp 100373- (2024)

Témata: Condition monitoring, Transfer learning, Autoencoder, Anomaly detection, Wind turbines, Fault detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666546824000399; https://doaj.org/toc/2666-5468

Přístupová URL adresa: https://doaj.org/article/fc30c059c7e74b46afe809a2f74c3069