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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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?

Смертность и продолжительность жизни

Гл. 5. С. 215–287.
Andreev E. M., Kvasha E. A., Timonin S., Kharkova T. L.
Language: Russian
Full text
DOI
Keywords: смертностьlife expectancymortalityожидаемая продолжительность жизнионкологическая смертностьCancer mortality
Publication based on the results of:
Demographic development in Russia in 2005-2015 in the context of long-term trends (2016)

In book

Население России 2015: двадцать третий ежегодный демографический доклад
Население России 2015: двадцать третий ежегодный демографический доклад
М.: Издательский дом НИУ ВШЭ, 2017.
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