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  • Сеть мастерства «Развитие форм межфирменной кооперации: сети и взаимоотношения». Результаты проекта
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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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Сеть мастерства «Развитие форм межфирменной кооперации: сети и взаимоотношения». Результаты проекта

С. 7–24.
Popov N., Tretyak O.

In this paper, we analyse the results of a project of Network of Excellence (NoEs), a new virtual form of research community integration. We outline international experiences of informal and formal research communities and the development stages of the Russian project. We conclude the paper with the project development prospects.

Language: Russian
Full text
Keywords: relationship marketingмаркетинг взаимоотношенийNetwork of Excellencenetwork formationсеть мастерстваформирование сети

In book

Развитие форм межфирменной кооперации: сети и взаимоотношения
Развитие форм межфирменной кооперации: сети и взаимоотношения
М.: Издательский дом ГУ-ВШЭ, 2008.
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