No. 1 (2021)

View No. 1 (2021)

Published: 2021-03-26

Full Issue

Progressive information technologies, high-efficiency computer systems

Simulating angular momentum of gravitational field of a rotating black hole and spin momentum of gravitational waves

Yoshio Matsuki, Petro Bidyuk

7-20
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Reduction conceptualization of oracle schemes

Igor Redko, Petro Yahanov, Maksym Zylevich

21-33
- PDF (Українська)

Problem- and function-oriented computer systems and networks

Method of searching for information objects in unified information space

Alexander Dodonov, Vadym Mukhin, Valerii Zavgorodnii, Yaroslav Kornaga, Anna Zavgorodnya

34-46
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Ontological model for data processing organization in information and communication networks

Larysa Globa, Nataliia Gvozdetska, Rina Novogrudska

47-60
- PDF
Data Science — definition and structural representation

Pavlo Maslianko, Yevhenii Sielskyi

61-78
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Mathematical methods, models, problems and technologies for complex systems research

General methods of forecasting nonlinear nonstationary processes based on mathematical models using statistical data

Oleg Belas, Andrii Belas

79-86
- PDF (Українська)
Forecasting of agricultural production volumes using methods of data mining

Serhii Kontseba, Roman Lishchuk, Svitlana Skurtol, Halyna Rodashchuk, Ivan Vasylchenko

87-97
- PDF (Українська)
Review methods for breast cancer detection using artificial intelligence and deep learning methods

Maryam Naderan

98-102
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Methods of system analysis and control in conditions of risk and uncertainty

Scenario cognitive modeling of development trends of the complexity system “youth, labor market, quality of life”

Galina Gorelova, Andrey Saak

103-120
- PDF (Русский)
Models for development of the information-control complex of the enterprise

Violetta Volkova, Alla Leonova, Alexandra Loginova

121-130
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New methods in system analysis, computer science and theory of decision making

On some statistics of fractional Brownian motion

Viktor Bondarenko

131-138
- PDF (Русский)
Quintile regression based approach for dynamical VaR and CVaR forecasting using metalog distribution

Grigoriy Zrazhevsky, Vira Zrazhevska

139-150
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