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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.
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Наём иностранных ученых в российские научные организации и вузы: возможности и барьеры

Университетское управление: практика и анализ. 2017. Т. 21. № 5. С. 132–143.
Dyachenko E., Nefedova A., Streltsova E.

Despite the measures taken by the Russian government to attract foreign scientists for work in Russian research organizations and universities, the level of incoming academic mobility to Russia remains extremely low. The paper provides quantitative estimates of the number of foreign researchers in different sectors of Russian science, and analyzes the attitude to the experience of their involvement on the part of the leaders of academic organizations. The work is based on the data of the Federal system for monitoring the performance of scientific organizations, as well as interview data with more than one hundred heads of Russian universities and research organizations.

The analysis of the quantitative and qualitative data demonstrates that for Russian organizations, recruitment of foreign scientists is not a usual and widespread practice, and is often considered as a difficult task with non-obvious benefits. This practice differs in its scope and implementations across the R&D sectors. The internationalization process is most active in universities, which are supported by the governmental measures developed specifically for these purposes. Based on the identified barriers, the paper offers several recommendations to increase the involvement of foreign researchers, as this can significantly contribute to the promotion of the country’s integration into the world science.

Research target: Political Science, International Relations, and Public Administration Education Sociology (including Demography and Anthropology Economics and Management
Priority areas: sociology management engineering science
Language: Russian
Full text
DOI
Keywords: российская наукаинтернационализация наукимеждународная академическая мобильностьacademic labor marketRussian scienceinternational academic mobilityакадемический рынок трудаinternationalization of scienceforeign scientistsиностранные ученые
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