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News
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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Гуманитарная терминология как сеть: теория графов о закономерностях научного стиля

Критика и семиотика. 2016. № 2. С. 94–101.
Orekhov B.

Complex networks (graphs) are widely used by modern science to model and analyze a variety of phenomena, including natural language. Networks allow you to reflect in the model that is usually lost in the traditional quantitative approach to the subject: the relations between the elements. Building a network on a processed scientific text allows you to better visualize the terminological system of the author, and to apply the some quantitative metrics, most clearly showing fragments of the whole. The study is carried out on the material of scientific texts by O. M. Freudenberg, A. F. Losev and E. M. Meletinskiy. The results show differences in their approaches to terminological system and the difference in style of presentation.

Research target: Philology and Linguistics
Language: Russian
Full text
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Keywords: графыApplied Graph Theory
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