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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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Wartime Intimacy: Zoya Kosmodemianskaya and the Chto Delat School for Engaged Art

P. 227–246.
Platt J.

Jonathan Brooks Platt’s chapter discusses the Chto Delat School for Engaged Art as an alternative institution in contemporary Russia, founded on practices of intimacy and a community of shared exposure. The model of the school is challenged by the performance, Becoming Zoya (2014), initiated by Natalia Pershina-Yakimanskay (Gluklya), which asked the students to measure themselves against a famous Soviet militant and consider the meaning of the Russian podvig (heroic exploit).

Language: English
Full text
Keywords: Contemporary ArtZoya Kosmodemianskaja

In book

Russia: Art Resistance and the Conservative-Authoritarian Zeitgeist
Routledge, 2017.
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