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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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Материалы IV Международной научно-практической конференции «Научно-технические аспекты комплексного развития железнодорожного транспорта» в рамках IV Международного Научного форума Донецкой Народной Республики 22-25 мая 2018 г.

Donetsk : Донецкий институт железнодорожного транспорта, 2018.
Chapters
Перспективы использования блокчейн-технологии в железнодорожной отрасли
Khusyainov T., В кн.: Материалы IV Международной научно-практической конференции «Научно-технические аспекты комплексного развития железнодорожного транспорта» в рамках IV Международного Научного форума Донецкой Народной Республики 22-25 мая 2018 г.: Донецк: Донецкий институт железнодорожного транспорта, 2018. С. 222–224.
In this paper, one of the technologies that have emerged on the wave of the Fourth Industrial (Digital) Revolution - Blochein, and possible prospects for implementation in the railway industry is considered. Like other digital technologies, it has great potential, so in the railway industry, Blockchine can provide high efficiency of processing and storing information. ...
Added: July 6, 2018
Priority areas: management state and public administration humanitarian IT and mathematics business informatics engineering science
Language: Russian
Keywords: транспортжелезнодорожный транспорт
Материалы IV Международной научно-практической конференции «Научно-технические аспекты комплексного развития железнодорожного транспорта» в рамках IV Международного Научного форума Донецкой Народной Республики 22-25 мая 2018 г.
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О некоторых теоретико-методологических аспектах расчёта потребного парка грузовых вагонов
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Рабочее время
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