Výsledky vyhledávání - (( Autoencoder application ) OR ( 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

Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization

Autoři: Mingwei Jia Lingwei Jiang Junhao Hu a další

Zdroj: International Journal of Adaptive Control and Signal Processing. 39:1483-1502

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 6. Clean water

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

Autoencoders and their applications in machine learning: a survey

Autoři: Berahmand, Kamal Daneshfar, Fatemeh Salehi, Elaheh Sadat a další

Zdroj: Artificial Intelligence Review. 57

Témata: Autoencoder application, 0202 electrical engineering, electronic engineering, information engineering, Bottleneck layer, Feature extraction, Deep learning, Autoencoder, 02 engineering and technology, Reconstruction loss, Dimensionality reduction, Unsupervised learning

Autoencoder Application for Anomaly Detection in Power Consumption of Lighting Systems

Autoři: Tomasz Śmiałkowski Andrzej Czyżewski

Zdroj: IEEE Access, Vol 11, Pp 124150-124162 (2023)

Témata: autoencoder, machine learning, smart city, 11. Sustainability, road lighting systems, smart meters, Anomaly detection, Electrical engineering. Electronics. Nuclear engineering, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://doaj.org/article/682c1dc2a6ec473983d8185865ed5f08

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

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network

Autoři: Gianina Chirosca Roxana Radvan Matei Pop a další

Zdroj: Applied Sciences. 15:9014

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

A Pansharpening Based on the Non-Subsampled Contourlet Transform and Convolutional Autoencoder: Application to QuickBird Imagery

Autoři: Ahmad Al Smadi Shuyuan Yang Ahed Abugabah a další

Zdroj: IEEE Access, Vol 10, Pp 44778-44788 (2022)

Témata: Technology, Science & Technology, multispectral image fusion, 0211 other engineering and technologies, NSCT, Pansharpening, 02 engineering and technology, convolutional autoencoder, TK1-9971, remote sensing, Engineering, Computer Science, Telecommunications, 0202 electrical engineering, electronic engineering, information engineering, Nanotechnology, Electrical & Electronic, Electrical engineering. Electronics. Nuclear engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/34ee88da446440829ab7702d7885f6da

Semi-supervised learning for predictive modeling in industrial applications

Autoři: Cacciarelli, Davide Kulahci, Murat

Zdroj: Quality Engineering. 37(3):339-346

Témata: autoencoders, label spreading, supervised learning, unlabeled data, unsupervised learning, Kvalitetsteknik och logistik, Quality Technology and Logistics

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-111278

An Invariant Representation of Coupler Curves Using a Variational Autoencoder: Application to Path Synthesis of Four-Bar Mechanisms

Autoři: Anar Nurizada Anurag Purwar

Zdroj: Volume 8: 47th Mechanisms and Robotics Conference (MR).

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

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

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 autoencoders and evolutionary swarms to optimization problems

Autoři: Moreira, Cristiano Frederico Teixeira

Témata: Redes neuronais artificiais, Codificação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10216/57765

Application of evolutionary swarms and autoencoders to wind-hydro coordination

Autoři: Costa, Luís Filipe Couto Azevedo

Témata: Sistemas eléctricos, Sistemas híbridos, Algoritmos genéticos, Computação evolutiva, Enxames evolucionários

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10216/58005

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

Autoři: Szu-Ting Wang Wen-Yen Hsu Shin-Chi Lai a další

Zdroj: Sensors, Vol 25, Iss 20, p 6322 (2025)

Témata: electrode motion artifacts, autoencoder, ECG denoising, multi-head self-attention, transformer, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/20/6322; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/dd8d1b5d91ea4749a350d6fea843ed20

Black-Box Variational Inference: Mixture Models, Efficient Learning, and Applications

Autoři: Hotti, Alexandra Lagergren, Jens, Professor Filippone, Maurizio, Associate Professor

Přispěvatelé: Hotti, Alexandra Lagergren, Jens, Professor Filippone, Maurizio, Associate Professor

Zdroj: TRITA-EECS-AVL.

Témata: Variational Inference, Mixture Models, Variational Autoencoders, Black-Box Variational Inference, Bayesian Inference, Web Automation, Graph Neural Networks, Large Language Models, Adaptive Importance Sampling, ELBO, Gradient Variance Bounds, Datalogi, Computer Science

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-363692
https://kth.diva-portal.org/smash/get/diva2:1959548/FULLTEXT01.pdf

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages

Autoři: Dan Hu Han Zhang Zhengwang Wu a další

Zdroj: IEEE Transactions on Medical Imaging. 39:4137-4149

Témata: Male, 03 medical and health sciences, 0302 clinical medicine, Brain, Humans, Infant, Neuroimaging, Magnetic Resonance Imaging, Algorithms

Přístupová URL adresa: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773223
https://pubmed.ncbi.nlm.nih.gov/32746154
https://koreauniv.pure.elsevier.com/en/publications/disentangled-multimodal-adversarial-autoencoder-application-to-in
https://pubmed.ncbi.nlm.nih.gov/32746154/
https://www.ncbi.nlm.nih.gov/pubmed/32746154
http://doi.org/10.1109/TMI.2020.3013825
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773223
https://dblp.uni-trier.de/db/journals/tmi/tmi39.html#HuZWWWSLLS20

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