|
|
|
Bohdan Mytnyk, Oleksandr Tkachyk, Nataliya Shakhovska, Solomiia Fedushko and Yuriy Syerov
This study considers the task of applying artificial intelligence to recognize bank fraud. In recent years, due to the COVID-19 pandemic, bank fraud has become even more common due to the massive transition of many operations to online platforms and the ...
ver más
|
|
|
|
|
|
|
Nataliya Shakhovska and Pavlo Pukach
This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the ...
ver más
|
|
|
|
|
|
|
Ivan Izonin, Roman Tkachenko, Zoia Duriagina, Nataliya Shakhovska, Viacheslav Kovtun and Natalia Lotoshynska
|
|
|
|
|
|
|
Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova and Khrystyna Lishchuk-Yakymovych
The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, which ...
ver más
|
|
|
|