
“The Herald of the Siberian State University of Telecommunications and Information Science” is a journal of the Siberian State University of Telecommunications and Information Science. The journal publishes original scientific and review articles related to all areas of activity of the Siberian State University of Telecommunications and Information Science - from telecommunications and informatics to social sciences and education.
The journal has been included in the List of Higher Attestation Commission of Russian peer-reviewed scientific journals, in which the main scientific results of dissertations for the degree of doctor and candidate of sciences should be published, since 2010.
The editorial board of the journal reviews manuscripts in the following scientific specialties and branches:
- 04/01/07 - Condensed matter physics (physical and mathematical sciences)
- 05.12.04 - Radio engineering, including television systems and devices (technical sciences)
- 05.12.07 - Antennas, microwave devices and their technologies (technical sciences)
- 05.12.13 - Telecommunication systems, networks and devices (technical sciences)
- 05.12.14 - Radar and radio navigation (technical sciences)
- 05.13.10 - Management in social and economic systems (technical sciences)
- 05.13.11 - Mathematical and software support for computers, complexes and computer networks (technical sciences)
- 05.13.15 - Computers, complexes and computer networks (technical sciences)
- 05.13.17 - Theoretical foundations of informatics (technical sciences)
- 05.13.18 - Mathematical modeling, numerical methods and software packages (technical sciences)
- 05.13.19 - Methods and systems of information security, information security (technical sciences)
- 05.13.20 - Quantum methods of information processing (technical sciences)
The journal is registered by the Federal Service for Supervision of Compliance with Legislation in the Sphere of Mass Communications and Protection of Cultural Heritage. Registration certificate ПИ №ФС77-25835 from 29.09.2006
Уважаемые авторы, в связи с летним периодом работы и отпусками, срок рецензирования может быть увеличен. Спасибо за понимание.
Current issue
A software package for automatic classification of aggressive vocabulary in unstructured texts in the information space is considered, taking into account the contextual analysis of statements at the lexical-semantic level and justification for the choice of a vectorizer and the most optimal classification for machine learning.