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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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?

Khimki in Moscow City-region: From ‘Closed City’ to ‘Edge City’?

P. 177–191.
Golubchikov O., Phelps N., Makhrova A.
Many concepts in social sciences sooner or later face ‘trial by geography’ — a consideration of their applicability beyond specific places and contexts, thus allowing these concepts to be either adjusted or rethought. The interest of this chapter is, then, to bring the analysis of post-suburbia from the Western economies into the former ‘Second World’ and to consider to what extent the ideas of ‘edge city’ (Garreau, 1991), ‘post-suburbia’ (Kling et al, 1995) and associated models of urban growth may apply for the latter. To this end we consider urban development and place-making on the periphery of Moscow. The analysis here is particularly based on the case of Khimki — a former Soviet off-limits ‘satellite city’ of Moscow and more recently a fast-growing area featuring many new retail, office and housing development projects right at Moscow’s edge.
Language: English
DOI
Text on another site
Keywords: suburban developmentMoscow city-regionurban policypost-suburbia

In book

International Perspectives on Suburbanization: A Post-Suburban World?
Basingstoke: Palgrave Macmillan, 2011.
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