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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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Особенности изучения миграционных биографий россиян: новые исследовательские вызовы

С. 9616–9629.
Сушко П. Е., Espy IV T. H.

In this article, we discuss the main theoretical approaches to the interpretation of migration biographies and distinguish the main motives and factors of spatial movements. We also analyze the relationship between migration movements and social mobility. In addition, considerable attention is given to key methodological approaches to the analysis of migration and migration biographies. In particular, we examine the biographical method to reconstruct the trajectory of the migration of the individual throughout his or her life. Also highlighted, in particular, is the use of advanced methods of statistical analysis – event history analysis and sequence analysis – which take a considerable amount of time and require ample creativity in preparing data.

Language: Russian
Full text
Keywords: социальная мобильностьмиграциясоциальный статусsocial mobilitymigrationsocial statusbiographical approachбиографический подходmigration biographysocial and demographic eventsмиграционная биографиясоциально-демографические события
Publication based on the results of:
Разработка и апробация методик анализа демографических последовательностей (2016)

In book

Социология и общество: социальное неравенство и социальная справедливость (Екатеринбург , 19-21 октября 2016 года). Материалы V Всероссийского социологического конгресса
Социология и общество: социальное неравенство и социальная справедливость (Екатеринбург , 19-21 октября 2016 года). Материалы V Всероссийского социологического конгресса
М.: Российское общество социологов, 2016.
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