CONSIDERATION OF THE POSSIBILITIES OF APPLYING MACHINE LEARNING METHODS FOR DATA ANALYSIS WHEN PROMOTING SERVICES TO BANK’S CLIENTS.

Autor: Bulhakova, Olha¹ olga.bulgakova.dp@gmail.com, Ulianovska, Yuliia^2,3, Kostenko, Victoria¹, Rudyanova, Tatyana^2,3

Publikováno v: Technology Audit & Production Reserves. 2022, Vol. 4 Issue 2(66), p14-18. 5p.

IMPLEMENTING THE METHOD OF FIGURATIVE TRANSFORMATIONS TO MINIMIZE PARTIALLY DEFINED BOOLEAN FUNCTIONS.

Autor: Solomko, Mykhailo, Antoniuk, Mykola, Voitovych, Ihor, Ulianovska, Yuliia, Pavlova, Nataliia, Biletskyi, Viacheslav

Publikováno v: Eastern-European Journal of Enterprise Technologies; 2023, Vol. 121 Issue 4, p6-25, 20p

Модели чрезвычайных ситуаций техногенного характера для систем поддержки принятия решений

Autor: Yakovenko, Vadim, Ulianovska, Yuliia, Yakovenko, Tetiana

Publikováno v: Східно-Європейський журнал передових технологій; Том 2, № 4 (104) (2020): Математика та кібернетика-прикладні аспекти; 30-37
Восточно-Европейский журнал передовых технологий; Том 2, № 4 (104) (2020): Математика и кибернетика-прикладные аспекты; 30-37
Eastern-European Journal of Enterprise Technologies; Том 2, № 4 (104) (2020): Mathematics and Cybernetics-applied aspects; 30-37

This paper addresses the issues related to controlling and preventing anthropogenic emergencies. The early detection of critical conditions, the accuracy, and reliability of monitoring system parameters is the key to the prevention of anthropogenic c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::c28c90c5ea13db112b9cc32bd476141e
http://journals.uran.ua/eejet/article/view/201736