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May 25, 2026
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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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Russian Regional Resilience: Cooperation and Resource Abundance: A Case Study of Khanty-Mansi Autonomous Okrug

P. 220–238.
Leonard C. S., Ilina I. N., Evgeniy Plisetskiy

Persistently among the leading regions of the country since the 1990s, Khanty-Mansiysk Autonomous Okrug, like most of Russia’s resource abundant regions, was resilient in the aftermath of the global financial crisis, despite its exposure to international capital flows. In such resource abundant regions, long-run efficient and cooperative budget planning and performance largely account for their dynamic resilience.

Language: English
Full text
Text on another site
Keywords: сырьевые регионыresource regions resource abundant regionsleading regionsрегиональная финансовая устойчивость
Publication based on the results of:
Economic Growth in Russia's Regions (2000-2012): The Role of Human Capital and Governance (2014)

In book

The Challenges for Russia's Politicized Economic System
The Challenges for Russia's Politicized Economic System
Oxenstierna S. Оксфорд: Routledge, 2015.
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Larchenko L. V., В кн.: Структурные реформы для стимулирования роста экономики регионов: опыт России и ФРГ.: СПб.: Скифия-принт, 2014. С. 72–75.
В статье показано, что в сырьевых регионах происходит усиление моноотраслевого характера экономики.  Автором предлагаются  направления перехода от  узкосырьевой специализации к многоотраслевому хозяйству, позволяющие сырьевым регионам успешно развиваться в длительном периоде. ...
Added: June 13, 2015
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Added: June 8, 2013
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