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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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Комплекс малогабаритных приборов для исследования космической погоды.

Известия высших учебных заведений. Приборостроение. 2018. Т. 61. № 5. С. 398–402.
Вайсберг О. Л., Шестаков А. Ю., Шувалов С. Д., Журавлев Р. Н., Моисеенко Д. А.

A brief review of methods of diagnostics and monitoring of space weather in the Earth's magneto-

sphere, and the diagnostic instruments currently in use,is presented. The large scale of the magnetosphere,

the presence of several mutually related regions and processes, the variability of the structural variations are

shown to necessitate monitoring of these magnetospheric regions simultaneously or with a slight enough

time delay. Considering the large spatial scale of the three-dimensional space system of the Earth's magne-

tosphere (7 radii of the Earth in the direction of the Sun, 10 radii of the Earth in the perpendicular direction,

and practically 15 radii in the anti-solar direction), it is possible to roughly estimate the required number of

diagnostic stations (satellites) as 100. It is concluded that creation and launch of such a number of modern

research and service-class satellites is very expensive enterprise and not an obligatory for complex monitor-

ing of the magnetosphere. The discussed rational approach to the problem suggests creation of a system of

magnetospheric nanosatellites equipped with a minimum number of diagnostic instruments

Research target: Physics
Priority areas: engineering science
Language: Russian
DOI
Text on another site
Keywords: магнитосфераmagnitospherespace plasmasolar windсолнечный ветерspace weatheringкосмическая плазмаnanosatellitesкосмическая погодананоспутникикомплекс приборов
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