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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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Специальные аспекты проблемы оптимизации выбора контрагента по многим критериям для горизонтальной кооперации

Финансовая жизнь. 2021. № 2. С. 116–122.
Brodetskiy G., Gerami V., Gusev D.

The article discusses special issues related to the optimization of the choice of a counterparty according to many criteria for horizontal cooperation problems that may arise in practice when analyzing models of transport provision of supplies. The structure and possibilities of formalizing tasks of this type are analyzed. It is shown that the approaches and methods for making multicriteria decisions developed in theory will make it possible in the format of such problems to really ensure the choice (as the best / optimal solution) of those analyzed alternatives that may be of interest to a decision-maker (DM) if they are Pareto optimal. In this case we recommend to take into account existing theoretical methods and mathematical tools that effectively allow manager to adapt the choice to the DM’s preferences. The illustrations are given using generalized selection criteria: scalar, geometric mean, ideal point and Hurwitz criterion for various positions of decision makers' preferences

Priority areas: management
Language: Russian
Keywords: многокритериальный выборmulti-criteria choicehorizontal cooperationгоризонтальная кооперациявыбор контрагента counterparty selectiongeneralized dataобобщенные данные
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The paper analyses the little-known essay of one of the classics of economic thought, J. A. Schumpeter (1883–1950), “The Sociology of Imperialisms,” where he appears not as an economic theorist, but as an economic sociologist. The problem of imperialism interested Schumpeter almost throughout his scientific career. His theory was polemically directed against various Marxist interpretations, ...
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В докладе представлен подход к формализации процедур фильтрации альтернатив в моделях многокритериального выбора поставщика транспортных услуг при горизонтальной кооперации обеспечения поставок. Процедуры фильтрации формализованы на основе бинарных отношений, причем сохраняются только альтернативы, которые соответствуют мажорантам в соответствующем отношении строгого порядка. Это позволит существенно сокращать число рассматриваемых альтернатив без снижения качества выбираемых решений. Численные иллюстрации даны ...
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Многокритериальный подход к формированию политики возвратов товаров компаниями электронной коммерции в России
Gerami V., Gusev D., Саркисян А. А., Российский журнал менеджмента 2022 Т. 20 № 1 С. 127–144
The aim of the study is to develop an effective approach to formulating and adjusting the return policy of large e-commerce companies in the Russian Federation taking into account the interests of e-commerce and marketplace participants. Research methodology includes modern methods of multi-criterial choice accounting for the preferences of decision makers. The paper provides an ...
Added: August 15, 2022
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