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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Minimum Wages, Unemployment and Informality: Evidence from Panel Data on Russian Regions

2013. No. 7878.
Muravyev A., Oshchepkov A. Y.
This paper revisits labor market effects of the minimum wage by taking advantage of a unique institutional setting and rich data from Russia that cover 89 regions over 10 years, from 2001 to 2010. Our empirical analysis draws on the methodology introduced by Neumark and Wascher, in which labor market outcomes at the regional level are related to the relative minimum wage (captured by the Kaitz index) in a panel setting. We find that the minimum wage raises unemployment among young workers aged 15 to 24. In contrast, there is no evidence of disemployment effects of the minimum wage for workers aged 25-72, including women. In addition, minimum wage hikes are associated with an increase in informal employment.
Priority areas: economics
Language: English
Full text
Text on another site
Keywords: Russiainformal employmentunemploymentminimum wages
Publication based on the results of:
Влияние минимальной заработной платы на занятость и безработицу в России: анализ квартальных региональных данных. (2012)
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