Storage of Big Data in Intelligent Systems: monograph

Authors

Kyrychenko Iryna Vitaliivna
Kharkiv National University of Radio Electronics, Ukraine
https://orcid.org/0000-0002-7686-6439
Tereshchenko Glib Yuriyovich
Kharkiv National University of Radio Electronics, Ukraine
https://orcid.org/0000-0001-8731-2135
Shanidze Nadiia Oleksandrivna
National Technical University Kharkiv Polytechnic Institute, Ukraine
https://orcid.org/0000-0002-9613-186X
Sharonova Nataliia Valeriivna
National Technical University Kharkiv Polytechnic Institute, Ukraine
https://orcid.org/0009-0004-9878-1761

Synopsis

The monograph presents an overview of current concepts regarding the storage and processing of big data, based on both domestic and international theory and practice.
It presents research results addressing the scientific task of developing methods for creating a hybrid image storage model in big data environments, which is of significant importance for advancing computer science, particularly in the field of artificial intelligence.
The monograph is intended for engineers, researchers, educators, and postgraduate students whose work involves various types of data, such as images, audio, video, text, and more.

Author Biographies

Kyrychenko Iryna Vitaliivna , Kharkiv National University of Radio Electronics

Associate Professor of the Department of Software Engineering, PhD in Technical Sciences, Associate Professor

Tereshchenko Glib Yuriyovich, Kharkiv National University of Radio Electronics

Associate Professor of the Department of Software Engineering, PhD in Technical Sciences

Shanidze Nadiia Oleksandrivna , National Technical University Kharkiv Polytechnic Institute

Associate Professor of the Department of Sociology and Public Administration, PhD in Sociology, Associate Professor

Sharonova Nataliia Valeriivna, National Technical University Kharkiv Polytechnic Institute

Professor of the Department of Intelligent Computer Systems, Doctor of Technical Sciences, Professor

Published

March 18, 2026

Details about this monograph

ISBN-13 (15)

978-966-659-380-4