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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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Силовое давление на бизнес: основные индикаторы и способы сравнительного анализа

С. 43–50.
Kazun A.
Language: Russian
Keywords: силовое предпринимательствоколлективные действиясиловое давление на бизнес

In book

Izaicinajumu un iespeju laiks: problemas, risinajumi, perspektivas. Starprautiska jauno petnieku un studentu zinatniski praktiska konfereenc // Time of challenges and opportunities: problems, solutions and perspectives. International scientific-practical conference of young scientists and students // Время вызовов и возможностей: проблемы, решения, перспективы. III Международная научно-практическая конференция молодых ученых и студентов.
Резекне: SIA "ETRA", 2013.
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