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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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?

Особенности современного управления брендами

Экономика и управление в машиностроении. 2019. Т. 66. № 6. С. 37–43.
Устинова О. Е., Карпова С. В., Kazakov S. P.

The article discusses the features and problematic issues that arise in brand management, taking into account the research conducted on differences in the emotional connections types among consumers. The article reveals the motivation factors of various consumers segments, primarily through the regular customers motivation analysis. The authors discuss the question of how to estimate the share of customers' spending on a particular brand. The indicators of satisfaction, loyalty and the relative rating of the company's products in the eyes of the consumer are evaluated. Special attention is paid to the luxury goods branding. Consumers of luxury goods began to flaunt expensive things less, we can talk about the so-called "unobtrusive luxury". According to the authors, the change in consumer preferences towards modesty will be long-term, not cyclical.

Research target: Economics and Management
Priority areas: management
Language: Russian
Text on another site
Keywords: брендинглояльностьбрендмотивацияпотребительmotivationbrandingbrandloyaltyconsumerluxury goodsэлитные товары
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