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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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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Наречие в функции распространителя адъективированных причастий в современном русском языке

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Kosheleva D., Lyashevskaya O.

The article is focused on the co-occurrence of different types of adverbs with participles of varying degrees of adjectivation in the modern Russian language. Examples of the use of adverbs and participial forms are given. Conclusions are drawn about the role of adverbs in the process of adjectivization.

Language: Russian
Keywords: наречиепричастиесовременный русский языкparticipleModern Russian languageadjectivizationadverbадъективация
Publication based on the results of:
Growth areas in a language structure: researches in corpora and corpus-based simulations (2017)

In book

Гуманитарное образование и наука в техническом вузе
Ижевский государственный технический университет им. М.Т. Калашникова, 2017.
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