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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.
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?

«Уходя — уходи»: кто остается с Россией и как перераспределяется импорт?

Вопросы экономики. 2023. № 12. С. 48–65.
Gnidchenko A., Mikheeva O. M., Salnikov V.

We examine the division of countries according to their political attitude towards Russia after the launch of a special military operation in Ukraine and the introduction of large-scale sanctions, and illustrate the importance of sanctions and political attitude to Russia for countries’ exports there with the available statistical data. The countries are clustered by their participation in sanctions pressure on Russia and voting on six UN resolutions condemning Russia’s actions. Except for hostile countries, we distinguish three groups of friendly countries — “cautious” (voting for UN resolutions), “wavering” (non-systematic voting), and “sympathetic” (voting against resolutions or ignoring them). According to mirror data on foreign trade with Russia, most countries which increased their exports to Russia in 2022 belong to the “sympathizers” group. Relying on the evidence from the EU and China, we demonstrate that imports of sanctioned goods are redistributed more actively than other imports. We list major products which imports were redistributed successfully or unsuccessfully.

Language: Russian
DOI
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Keywords: санкциикластеризацияclusterizationsanctionsfriendly countriesдружественные страны
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