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May 25, 2026
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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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Demands and Realities: Significance and Implications of Galperin’s Legacy for Learning and Teaching in 21st Century

Ch. 10. P. 105–118.
Engeness I., Thomas G., Podolsky A. I.
Language: English
Full text
DOI
Keywords: поэтапное формирование умственных действий, интериоризация, методы психологического исследования, ориентировочная деятельностьPyotr GalperinSystem of planned stage-by-stage formation of mental actionsLectures on PsychologyЛекции по психологии

In book

P.Y. Galperin's Development of Human Mental Activity: Lectures in Educational Psychology
Engeness I. Cham: Springer, 2021.
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