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  • Динамика численности населения Москвы за 140 лет
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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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Динамика численности населения Москвы за 140 лет

Вестник Московского университета. Серия 6: Экономика. 2013. № 3. С. 88–97.
Denisenko M. B., Stepanova A.

The article is devoted to the analysis of the population dynamics in Moscow from 1871 to 2010. The contribution of the natural population movement and migration inflow to the population size was defined on the basis of census data and statistical records. Furthermore, the population growth in consequence of the city expansion was shown. Migration stocks of the population were evaluated using both statistical records and the demographic balance method. The quality of the migration statistics during the inter-census periods is evaluated in this paper

Priority areas: sociology
Language: Russian
Keywords: миграцияmigrationчисленность населенияdemographic balanceдемографический баланс
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