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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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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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Экономист, экономическая наука и наша история: краткие заметки к 125-летию со дня рождения Н. Д. Кондратьева

С. 207–218.
Makasheva N. A.

The tragic fate of the  scientist-economist is seen in the context of social and economic processes  in Russia and radical transformation  of  Russian economic science in 1910-1930s.

Language: Russian
Text on another site
Keywords: марксизмMarxismроссийская экономическая наукаKondratiev N.D.Кондратьев Н.Д.Russian economic science

In book

Кондратьевские волны: к 125-летию Н. Д. Кондратьева 2018
Кондратьевские волны: к 125-летию Н. Д. Кондратьева 2018
Волгоград: Издательство "Учитель", 2018.
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