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Subject
News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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2021 44th International Conference on Telecommunications and Signal Processing (TSP)

IEEE Computer Society, 2021.
Academic editor: N. HERENCSAR

The proceedings of the conference.

 

Chapters
On Machine Learning Applicability to Transaction Time Prediction for Time-Critical C-ITS Applications
Stepanov N., Veprev A., Sharapova A. et al., , in: 2021 44th International Conference on Telecommunications and Signal Processing (TSP).: IEEE Computer Society, 2021. P. 408–413.
The demand in providing a reliable operation of modern Cooperative Intelligent Transport Systems (C-ITS) is growing tremendously. One of the enablers for improving efficiency is applying Machine Learning (ML) techniques to predict network characteristics. This work proposes methods to solve the Regression and Classification tasks for the real-life C-ITS mission-critical (transaction) data between buses and ...
Added: October 2, 2021
Research target: Engineering and Technology Economics and Management Computer Science
Language: English
DOI
Keywords: machine learningBlockchainDistributed Ledger Technology signal processing
2021 44th International Conference on Telecommunications and Signal Processing (TSP)
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