Separation of Several Illnesses Using Correlation Structures with Convolutional Neural Networks

Autor:	Dávid Sztahó, Gabor Kiss, Miklos Gabriel Tulics, Attila Zoltán Jenei
Rok vydání:	2021
Předmět:	Correlation business.industry Computer science Separation (statistics) General Engineering Pattern recognition Artificial intelligence business Convolutional neural network
Zdroj:	Acta Polytechnica Hungarica. 18:47-66
ISSN:	2064-2687 1785-8860
DOI:	10.12700/aph.18.7.2021.7.3
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92a07c82d8d0c98576ebefbc4b60c26c https://doi.org/10.12700/aph.18.7.2021.7.3 Zobrazit plný text záznamu