Tetiana Tepla

Work place: Lviv Polytechnic National University, Lviv, 70913, Ukraine

E-mail: tetiana.l.tepla@ukr.net


Research Interests: Computational Science and Engineering, Computational Engineering, Engineering


Tetiana Tepla, graduated from Lviv Polytechnic National University in 2001 and obtained MSc in material sciences.  She got his Ph.D. in Material Science in 2008. She is currently working as Senior Lecturer in Department of Applied Materials Science and Materials Engineering, at Lviv Polytechnic National University, Lviv, Ukraine.

She has published more than 50 publications. Her major research interests are: steel and alloys with special properties; corrosion and corrosion protection; biocompatible materials.

Author Articles
The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production

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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