Výsledky vyhledávání - "Autoencoder application"

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

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network

Autoři: Gianina Chirosca Roxana Radvan Matei Pop a další

Zdroj: Applied Sciences. 15:9014

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

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

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

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

Convolutional Autoencoder Application for Breast Cancer Classification

Autoři: Maryam Naderan Yuri Zaychenko

Zdroj: 2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC). :1-4

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9239139
http://xplorestaging.ieee.org/ielx7/9239099/9239115/09239139.pdf?arnumber=9239139

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

Autoři: An, Seunghwan Jeon, Jong-June

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2302.11294

A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving

Autoři: Xinan Wang Di Shi Yishen Wang a další

Zdroj: 2019 IEEE Power & Energy Society General Meeting (PESGM). :1-5

Témata: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, 7. Clean energy

Přístupová URL adresa: http://arxiv.org/pdf/1902.08167
http://arxiv.org/abs/1902.08167
http://ui.adsabs.harvard.edu/abs/2019arXiv190208167W/abstract

CNN Based Autoencoder Application in Breast Cancer Image Retrieval

Autoři: Trifebi Shina Sabrila Agus Eko Minarno Kharisma Muzaki Ghufron a další

Zdroj: 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA).

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9502205

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network.

Autoři: Chirosca, Gianina Radvan, Roxana Pop, Matei a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9014, 13p

Témata: ART authentication, DEEP learning, ARTISTIC creation, IMAGE analysis, FEATURE extraction, PATTERN perception, EMBEDDINGS (Mathematics), AUTOENCODERS

[Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical]

Autoři: Hui-hua, Yang Zhi-chao, Luo Shu-jie, Jiang a další

Zdroj: Guang pu xue yu guang pu fen xi = Guang pu. 36(9)

Témata: Machine Learning, Spectroscopy, Near-Infrared, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Neural Networks, Computer, 0503 education, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/30084593

Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems

Autoři: Chakraborty, Indrasis Chakraborty, Rudrasis Vrabie, Draguna

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Statistics - Machine Learning, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/1804.05320

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

Autoři: Jia, Mingwei Jiang, Lingwei Hu, Junhao a další

Zdroj: International Journal of Adaptive Control & Signal Processing; Jul2025, Vol. 39 Issue 7, p1483-1502, 20p

Témata: AUTOENCODERS, MANUFACTURING processes, SIGNAL processing, TREND analysis, OUTLIER detection, MEASUREMENT uncertainty (Statistics), PROCESS control systems

A variational autoencoder application for real-time anomaly detection at CMS

Autoři: Valente, Lorenzo Bonacorsi, Daniele Anzalone, Luca a další

Přispěvatelé: Valente, Lorenzo Bonacorsi, Daniele Anzalone, Luca a další

Témata: Machine Learning,Deep Learning,HEP,Model Compression,Quantization-Aware Training,HLS4ML,Anomaly Detection,Variational Autoencoder,FPGA, Physics [LM-DM270]

Popis souboru: application/pdf

Relation: https://amslaurea.unibo.it/id/eprint/28788/1/thesisLorenzo.pdf; Valente, Lorenzo (2023) A variational autoencoder application for real-time anomaly detection at CMS. [Laurea magistrale], Università di Bologna, Corso di Studio in Physics [LM-DM270]

Dostupnost: https://amslaurea.unibo.it/id/eprint/28788/
https://amslaurea.unibo.it/id/eprint/28788/1/thesisLorenzo.pdf

[Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical].

Autoři: Yang HH Luo ZC Jiang SJ a další

Zdroj: Guang pu xue yu guang pu fen xi = Guang pu [Guang Pu Xue Yu Guang Pu Fen Xi] 2016 Sep; Vol. 36 (9), pp. 2774-9.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Beijing da xue chu ban she Country of Publication: China NLM ID: 9424805 Publication Model: Print Cited Medium: Print ISSN: 1000-0593 (Print) Linking ISSN: 10000593 NLM ISO Abbreviation: Guang Pu Xue Yu Guang Pu Fen Xi Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Neural Networks, Computer*, Machine Learning ; Spectroscopy, Near-Infrared

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

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

Autoři: Hu, Dan Zhang, Han Wu, Zhengwang a další

Zdroj: IEEE Transactions on Medical Imaging, 39(12)

Témata: Brain, Infant, Male, Humans, Algorithms, Neuroimaging, Magnetic Resonance Imaging

Relation: https://cdr.lib.unc.edu/downloads/x633fb98r?file=thumbnail; https://cdr.lib.unc.edu/downloads/x633fb98r

Dostupnost: https://doi.org/10.17615/evgj-g279
https://cdr.lib.unc.edu/downloads/x633fb98r?file=thumbnail
https://cdr.lib.unc.edu/downloads/x633fb98r

A variational autoencoder application for real-time anomaly detection at CMS

Autoři: Valente, Lorenzo thesis supervisor: Bonacorsi, Daniele

Témata: Machine Learning,Deep Learning,HEP,Model Compression,Quantization-Aware Training,HLS4ML,Anomaly Detection,Variational Autoencoder,FPGA, PeerReviewed, info:eu-repo/semantics/masterThesis

URL: https://amslaurea.unibo.it/id/eprint/28788/
https://amslaurea.unibo.it/id/eprint/28788

Moving forward in water distribution network leak identification through an innovative features engineering step.

Autoři: Damonti, Elvio Bernasconi, Giancarlo

Zdroj: Digital Signal Processing. Jan2026:Part C, Vol. 168, pN.PAG-N.PAG. 1p.

Témata: *WATER distribution, *LEAK detection, *FEATURE selection, *PATTERN perception, *AUTOENCODERS, *CONVOLUTIONAL neural networks, *OUTLIER detection