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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.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Boosting Motivation Through Process Gamification: Evidence from Higher Education

P. 45–57.
Alexander Gromoff, Bilinkis (Stavenko) J., Yaroslav Gorchakov

Boosting motivation is a challenging task on the way of additional productivity, especially considering new generations Y and Z. In this paper we combine set of methods from process management, pedagogics and psychology to develop an interactive gamification process and test it for generations Y and Z currently studying in the leading Russian university. The efficiency of approach is demonstrated on several models and authors suggest ways how to implement them.

Language: English
DOI
Keywords: Subject-oriented business process management (S-BPM)gamificatione-learning systems

In book

Communications in Computer and Information Science
Vol. 1011: 8th International Workshop on Learning Technology for Education Challenges, LTEC 2019; Zamora; Spain. , Springer, 2019.
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