Výsledky vyhledávání - "supervised autoencoder"

Supervised autoencoder for fault detection and diagnosis in predictive maintenance of bearing ring grinding machine

Autoři: Pietro Andrea MICIACCIA

Zdroj: Materials Research Proceedings. 57:608-616

Transport Layer Security-Encrypted Abnormal Traffic Detection Based on Supervised Autoencoder

Autoři: YANG Mingfen, GAN Yun, ZHANG Xingpeng

Zdroj: Jisuanji gongcheng, Vol 51, Iss 9, Pp 192-200 (2025)

Témata: tls encryption, autoencoder, abnormal traffic detection, reconstruction loss, visual analysis, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-9-192.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/49058113d18a49309a2b22d537b3290f

Stacked semi-supervised autoencoder-regularized RVFLNs for reliable prediction of molten iron quality in blast furnace

Autoři: Ping Zhou Peng Zhao Zihui Ou a další

Zdroj: Neural Computing and Applications. 37:10425-10438

Supervised autoencoder MLP for financial time series forecasting

Autoři: Bartosz Bieganowski Robert Ślepaczuk

Zdroj: Journal of Big Data, Vol 12, Iss 1, Pp 1-45 (2025)

Témata: Machine learning, Algorithmic investment strategy, Supervised autoencoders, Financial time series, Trading strategy, Risk-adjusted return, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2196-1115

Přístupová URL adresa: https://doaj.org/article/92f2bc1809ae4a7e9a1c04edd5b701dc

A Fault Diagnosis Framework for Waterjet Propulsion Pump Based on Supervised Autoencoder and Large Language Model

Autoři: Zhihao Liu Haisong Xiao Tong Zhang a další

Zdroj: Machines, Vol 13, Iss 8, p 698 (2025)

Témata: waterjet propulsion pump, fault diagnosis, large language model, supervised autoencoder, feature extraction, few-shot learning, Mechanical engineering and machinery, TJ1-1570

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-1702/13/8/698; https://doaj.org/toc/2075-1702

Přístupová URL adresa: https://doaj.org/article/5b6bf9f028534072ada7fcdf5d09b176

Thyroid Nodule Diagnosis Using a New Supervised Autoencoder Neural Network with $$\ell _{1,\infty }$$ Projection

Autoři: Grégoire D’Andrea Cyprien Gille Thierry Pourcher a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031907135

Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis

Autoři: Webster, Matthew B. Lee, Dongheon Lee, Joonnyong

Témata: Machine Learning, Signal Processing (eess.SP), FOS: Computer and information sciences, I.2.6, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.09132

Supervised AutoEncoder-Based Beamforming Approach for Satellite mmWave Communication

Autoři: Seyed Pouya Shojaei Hossein Soleimani Mohammad Soleimani

Zdroj: International Journal of Antennas and Propagation, Vol 2024 (2024)

Témata: HE9713-9715, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Cellular telephone services industry. Wireless telephone industry, TK1-9971

Popis souboru: text/xhtml

Přístupová URL adresa: https://doaj.org/article/53e7312f39374af489089dbad4fbedd7

Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysis.

Autoři: Webster MB Lee D Lee J

Zdroj: Computers in biology and medicine [Comput Biol Med] 2025 Nov 21; Vol. 199, pp. 111319. Date of Electronic Publication: 2025 Nov 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors

Autoři: Jaehyuk An Younghoon Kwon Yoon-Sik Cho

Zdroj: 2023 IEEE International Conference on Big Data (BigData). :1-5

Joint loss learning-enabled semi-supervised autoencoder for bearing fault diagnosis under limited labeled vibration signals

Autoři: Mingxuan Liang Kai Zhou

Zdroj: Journal of Vibration and Control. 30:4537-4550

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

A Semi-Supervised Autoencoder Approach for Efficient Intrusion Detection in Network Traffic

Autoři: Arthur Almeida Luís Gonçalves Cleber Zanchettin a další

Zdroj: 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI). :1-6

Detecting subtle transcriptomic perturbations induced by lncRNAs Knock-Down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network

Autoři: Marin Truchi Caroline Lacoux Cyprien Gille a další

Přispěvatelé: Marin Truchi Caroline Lacoux Cyprien Gille a další

Zdroj: Front Bioinform
Frontiers in Bioinformatics, Vol 4 (2024)

Témata: 0301 basic medicine, single-cell RNA-seq, hypoxia, Bioinformatics, Computer applications to medicine. Medical informatics, 0206 medical engineering, lncRNAs, R858-859.7, CRISPRi, 02 engineering and technology, 3. Good health, [SDV] Life Sciences [q-bio], sparse supervised autoencoder, 03 medical and health sciences, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38501112
https://doaj.org/article/961d2c23e9cc4a02a8c14cc9b774b873
https://amu.hal.science/hal-04883524v1
https://amu.hal.science/hal-04883524v1/document
https://doi.org/10.3389/fbinf.2024.1340339
https://hal.science/hal-04795816v1/document
https://hal.science/hal-04795816v1
https://doi.org/10.3389/fbinf.2024.1340339

Automated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder Model

Autoři: Tiny Du Toit Hennie Kruger Annette Van Der Merwe

Zdroj: Journal of Computer Science. 19:1073-1086

Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network

Autoři: Marin Truchi Caroline Lacoux Cyprien Gille a další

Zdroj: Frontiers in Bioinformatics, Vol 4 (2024)

Témata: single-cell RNA-seq, lncRNAs, hypoxia, CRISPRi, sparse supervised autoencoder, Computer applications to medicine. Medical informatics, R858-859.7

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fbinf.2024.1340339/full; https://doaj.org/toc/2673-7647

Přístupová URL adresa: https://doaj.org/article/961d2c23e9cc4a02a8c14cc9b774b873

A Semi-Supervised Autoencoder With an Auxiliary Task (SAAT) for Power Transformer Fault Diagnosis Using Dissolved Gas Analysis

Autoři: Sunuwe Kim Soo-Ho Jo Wongon Kim a další

Zdroj: IEEE Access, Vol 8, Pp 178295-178310 (2020)

Témata: 0202 electrical engineering, electronic engineering, information engineering, power transformer, Semi-supervised autoencoder, health feature space, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fault diagnosis, dissolved gas analysis, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09210082.pdf
https://doaj.org/article/30784f3cb1d24044b0f85653082d18ac
https://ieeexplore.ieee.org/document/9210082
https://dblp.uni-trier.de/db/journals/access/access8.html#KimJKPJHKY20

A New Semi-Supervised Classification Method Using a Supervised Autoencoder for Biomedical Applications

Autoři: Cyprien Gille Frederic Guyard Michel Barlaud

Zdroj: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder

Autoři: Jemaa, Hela Bouachir, Wassim Leblon, Brigitte a další

Zdroj: 2023 20th Conference on Robots and Vision (CRV). :312-319

Popis souboru: pdf

Supervised autoencoder denoiser for non-stationarity in multi-session EEG-based BCI

Autoři: Avin Ofer Almagor Ophir Noah Yoav a další

Zdroj: Journal of Neural Engineering. 22:026043

Témata: Adult, Male, Brain-Computer Interfaces, Imagination, Humans, Electroencephalography, Autoencoder, Signal-To-Noise Ratio, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40127535

SAGHOG: Self-supervised Autoencoder for Generating HOG Features for Writer Retrieval

Autoři: Marco Peer Florian Kleber Robert Sablatnig

Zdroj: Lecture Notes in Computer Science ISBN: 9783031705359

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2404.17221