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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
'The Humanities Serve as a Conscience'
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?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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О топологии многообразий, допускающих градиентно-подобные потоки с заданным неблуждающим множеством

Siberian Advances in Mathematics. 2018. Т. 21. № 2. С. 163–180.
Grines V., Zhuzhoma E. V., Medvedev V., Gurevich E.

In this paper, we study the relationship between the structure of the set of equilibrium states of a gradient-like flow and the topology of a carrier manifold of dimension 4 and higher. We introduce a class of manifolds admitting a generalized Heegaard decomposition. It is established that if a non-wandering set of a gradient-like flow consists of exactly $ \ mu $ nodal and $ \ nu $ saddle equilibrium states of the Morse indices $ 1 $ and $ (n-1) $, then its carrying manifold admits a generalized Heegaard decomposition of genus $ g = \ frac {\ nu- \ mu 2} {2} $. An algorithm is given for constructing gradient-like flows on closed manifolds of dimension $ n \ geq 3 $ with respect to a given number of nodal equilibrium states and given numbers of saddle equilibrium states for various Morse indices.

Research target: Mathematics
Priority areas: mathematics
Language: Russian
Full text
DOI
Keywords: топологическая классификацияtopological classificationgradient-like flowsinterrelation between dynamics and topologyградиентно-подобные потокисвязь между динамикой и топологией
Publication based on the results of:
Topology and chaos in the dynamics of systems, foliations, and deformations of Lie algebras (2018)
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