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  • Концепция создания интеллектуальной системы ситуационного реагирования и обеспечения безопасности железных дорог современной России
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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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Концепция создания интеллектуальной системы ситуационного реагирования и обеспечения безопасности железных дорог современной России

Бизнес-информатика. 2011. № 4. С. 8–15.
Avdoshin S. M., Горбатовский М. С., Чернов А. В.

Architecture and components are offered to design an intellectual system of situational awareness and security for transportation and railroads infrastructure are offered. The concept provides event-based streams processing approach to process the primary data and build a grid application of collecting and analysing railroads data from various sources. An architecture is proposed to support predictive analytics and decision support in real-time on very large data volumes as well as an approach to dynamically optimize the timetables on the railway infrastructure networks.

Priority areas: management business informatics engineering science
Language: Russian
Full text
Keywords: ситуационное реагированиепрогнозирование по поведенческим шаблонам обработка потоков данныхдинамическая оптимизациясети датчиковStreams processingSituational awarenessDynamic optimizationPredictive behavior-based modellingSensor networks
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