Work place: Lviv Polytechnic National University, Lviv, 70913, Ukraine
E-mail: natlot@ukr.net
Website:
Research Interests: Materials Science
Biography
Nataliia Lotoshynska graduated from Ukrainian Academy of Printing in 1992. She took her Ph.D. degree in 1998. Currently she is working as a lecturer of the Publishing Information Technologies Department at Lviv Polytechnic National University, Lviv, Ukraine.
She has published more than 80 publications, including 4 patents for inventions, 2 textbooks. Scientific research in the field of printing technologies and software environment for production and accounting of paint mixes, in the field of printing technologies and materials of flat offset printing and 3D printing technologies.
By Ivan Izonin Andriy Trostianchyn Zoia Duriagina Roman Tkachenko Tetiana Tepla Nataliia Lotoshynska
DOI: https://doi.org/10.5815/ijisa.2018.09.05, Pub. Date: 8 Sep. 2018
This document presents two developed methods for solving the classification task of medical implant materials based on the compatible use of the Wiener Polynomial and SVM. The high accuracy of the proposed methodology for solving this task are experimentally confirmed. A comparison of the proposed methods with existing ones: Logistic Regression; Linear SVC; Random Forest; SVC (linear kernel); SVC (RBF kernel); Random Forest + Wiener Polynomial is carried out. The duration of training of all methods that described in work is investigated. The article presents the visualization of all method results for solving this task.
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