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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Расширенные тезисы докладов Всероссийской радиоастрономической конференции «Радиотелескопы, аппаратура и методы радиоастрономии» (ВРК-2022)

СПб. : 2022.

One of the fundamental problems of astrophysics is the study of sources and mechanisms for the formation of high and ultrahigh energy cosmic rays. It is assumed that primary cosmic rays in the energy range 10^16-10^19 eV are generated by both galactic and (at higher energies) extragalactic sources [2]. One of the ways to detect high-energy cosmic rays is to fix the radiation generated by EAS (Extensive Atmospheric Showers) from the penetration of cosmic ray particles into the Earth's atmosphere.

It is known that the maximum radiation from EAS falls at frequencies from 100 to 110 MHz, at which the BSA FIAN operates. The paper presents the methodology and results of the analysis of hundreds of thousands of impulse signals with zero dispersion delay in many beams of the BSA diagram for 2012-2020 at once. An analysis of such signals and their separation into different fractions was carried out. Analysis of the data showed that a very significant part of these data (up to tens of percent of the entire array), apparently, is generated by EAS. 

This study was carried out using the supercomputer complex of the National Research University Higher School of Economics.

Chapters
Выявление радиоизлучения каскадных ливней космических лучей высоких энергий в многолетних непрерывных наблюдениях радиотелескопа метровых волн БСА ФИАН.
Samodurov V., Дагкесаманский Р. Д., Pozanenko A. S. et al., В кн.: Расширенные тезисы докладов Всероссийской радиоастрономической конференции «Радиотелескопы, аппаратура и методы радиоастрономии» (ВРК-2022).: СПб.: [б.и.], 2022. С. 44–44.
One of the fundamental problems of astrophysics is the study of sources and mechanisms for the formation of high and ultrahigh energy cosmic rays. It is assumed that primary cosmic rays in the energy range 10^16-10^19 eV are generated by both galactic and (at higher energies) extragalactic sources. One of the ways to detect high-energy ...
Added: December 20, 2022
Research target: Physics Mathematics
Language: Russian
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Keywords: cosmic raysкосмические лучиprocessing techniqueextensive air showers (EAS)longwave radio emissionметодика обработкиширокие атмосферные ливни (ШАЛ)длинноволновое радиоизлучение
Расширенные тезисы докладов Всероссийской радиоастрономической конференции «Радиотелескопы, аппаратура и методы радиоастрономии» (ВРК-2022)
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Added: December 7, 2016
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