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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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Трансформация современного русского националистического движения под влиянием событий в Украине в 2014 году

С. 116–130.
Rotmistrov A.

This report addresses questions concerning the Russian nationalist movement transformations (including crisis) which were generated by the Ukrainian Maidan revolution in 2013-14 and its political and cultural consequences. These transformations are considered in light of changes in Russian domestic politics. The report provides illustrations of the nationalist organization’s tactics regarding the events; the tactics are divided into the 5 types. The information concerning these processes was gained by means of combining qualitative and quantitative methods (content analyses, semi-formalized interview and clustering). This combination is necessary because of the problems with exploring nationalist organizations; these problems are considered in the report.

Language: Russian
Full text
Text on another site
Keywords: оппозицияРоссияRussiaкластеризацияoppositionclusteringRussian nationalismрусский национализмMaidanМайдан

In book

XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
Кн. 3. , М.: Издательский дом НИУ ВШЭ, 2016.
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