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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
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Использование краудфандинга в решении социальных и культурных проблем сельских территорий России

Журнал исследований социальной политики. 2020. Т. 18. № 1. С. 7–20.
Латышева А. Н.

In this paper the term 'crowdfunding' is defined and it demonstrates how this

could be used as a potential solution for social and cultural issues in rural

communities. In the academic literature, crowdfunding is primarily examined

as a brand-new business tool, a way to collect new investment. However, a

large proportion of projects created on Russian crowdfunding platforms are

directly linked to cultural and social initiatives. Moreover, the sponsors of

such projects often forgo any material reward for participation and donate

their money without any incentives beyond the project’s completion. In light

of this fact it is important to examine socially-oriented crowdfunding projects,

their growth and spread in Russia; attempt to answer the question whether

they are more or less successful than other projects in respective crowdfund

-

ing platforms; track the geography of such projects and figure out if the

phenomenon is limited to developed urban areas of Russia. In order to achieve

that goal, the subjects (social crowdfunding project centered around rural

revitalization) were deliberately selected. For the purposes of this examina

-

tion, over two hundred projects launched between 2012 and 2017 were

chosen. All of these were from the two major Russian crowdfunding platforms:

Boomstarter

and

Planeta.ru

. The search centered around the keywords 'vil

-

lage', 'rural', 'hamlet' and 'countryside'. Projects were analysed based on their

fundraising success (a

successful project was defined as one that managed

to raise the initially declared amount, or a partial amount according to the

rules of the platform in allotted time), thematic differences and geographic

location. The examination showed that the chosen projects were in fact more

successful when compared to the platform average, thematic differences in

projects did not impact the success rate and geographically there were projects

from 54 subjects of the Russian Federation out of 85.

Research target: Sociology (including Demography and Anthropology Media and Communications Other social sciences
Priority areas: economics sociology
Language: Russian
DOI
Text on another site
Keywords: социальная политикаRussiasocial policyсельская местностьгосударственная социальная политикаcrowdfundingкраудфандингRussian rural areasRural Areas
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