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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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Cовместная аксиоматизция пред n-ядра и решения Дутты-Рэя для выпуклых игр

Математическая теория игр и ее приложения. 2012. Т. 4. № 2. С. 96–123.
Yanovskaya E. B.

Most of solutions for cooperative games with transferable utilities (TU) are covariant with respect to positive linear transformations of individual utilities. However, this property does not take into account interpersonal comparisons of players' payoffs. The constrained egalitarian solution defined by Dutta and Ray  for the class of convex TU games, being not covariant, served as a pretext to studying non-covariant solutions. In the paper a weakening of covariance is given in such a manner that, together with some other properties, it characterizes only two solutions -- the prenucleolus and the Dutta--Ray solution -- on the class convex TU TU games.

Research target: Mathematics Economics and Management
Language: Russian
Full text
Keywords: Cooperative Game Theoryprenucleolusкооперативная играпред n-ядроDutta-Ray solutioncovarianceconvex gameковариантностьрешение Дутта-Рэявыпуклая игра
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