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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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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Symmetry in large-scale socio-economic systems and the implications for management

P. 1–5.
Rasskazov, S.V., Rasskazova, A.N., Koroleva, E.V.

The paper provides a methodology for identifying and analyzing group-theoretical symmetry in socio-economic applications. Symmetry is disclosed in the tasks of estimating contingent claims, the main hypotheses of financial markets, time series of stock indexes, including pre-crisis periods, the distribution of urban population and the duration of historical periods. The connection of solutions based on symmetry is displayed, in particular, with the management of pension savings and migration flows, as well as with the “digital” transformation of people's life attitudes.

Language: English
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DOI
Text on another site
Keywords: stochastic processcrisisgroup theorysocial managementsymmetryscale invarianceZipf Law

In book

2019 Twelfth International Conference "Management of large-scale system development" (MLSD)
M.: IEEE, 2019.
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