NOVEL HYBRID ALGORITHM USING CONVOLUTIONAL AUTOENCODER WITH SVM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY AND ULTRASOUND COMPUTED TOMOGRAPHY

Autor:	Łukasz Maciura, Dariusz Wójcik, Tomasz Rymarczyk, Krzysztof Król
Jazyk:	English<br />Polish
Rok vydání:	2023
Předmět:	convolutional autoencoder SVM electrical impedance tomography ultrasound transmission tomography Environmental engineering TA170-171 Environmental sciences GE1-350
Zdroj:	Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 13, Iss 2 (2023)
Druh dokumentu:	article
ISSN:	2083-0157 2391-6761
DOI:	10.35784/iapgos.3377
Popis:	This paper presents a new hybrid algorithm using multiple Support Vector Machines models with convolutional autoencoder to Electrical Impedance Tomography, and Ultrasound Computed Tomography image reconstruction. The ultimate hybrid solution uses multiple SVM models to convert input measurements to individual autoencoder codes representing a given scene then the decoder part of the autoencoder can reconstruct the scene
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/bc6953b1b60a4cecbbb37c2daeebff2c Zobrazit plný text záznamu View record in DOAJ