Balancing the Scale: Data Augmentation Techniques for Improved Supervised Learning in Cyberattack Detection

Autor: Kateryna Medvedieva, Tommaso Tosi, Enrico Barbierato, Alice Gatti

Publikováno v: Eng, Vol 5, Iss 3, Pp 2170-2205 (2024)

The increasing sophistication of cyberattacks necessitates the development of advanced detection systems capable of accurately identifying and mitigating potential threats. This research addresses the critical challenge of cyberattack detection by em

Externí odkaz: https://doaj.org/article/18004fb35aea4abc8be70f58636f4639

Using Crm Systems for the Development and Implementation of Communication Strategies for Digital Brand Management and Internet Marketing: eu Experience

Autor: Olena Berestetska, Tetiana Iankovets, Azyk Orozonova, Serhii Voitovych, Aisulu Parmanasova, Kateryna Medvedieva

Publikováno v: International Journal of Professional Business Review; Vol. 8 No. 4 (2023): Continuous publication; e01613
International Journal of Professional Business Review; v. 8 n. 4 (2023): Continuous publication; e01613

Purpose: The research aims to analyze the use of CRM systems for the development and implementation of communication strategies for digital brand management and Internet marketing based on the experience of EU countries. Theoretical framework: Implem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d3609ae964ec15e80964180c43d2d5
https://doi.org/10.26668/businessreview/2023.v8i4.1613