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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.
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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Layering, Embedding or Ignoring: Interaction of Master Planning With Existing Urban Planning System In Russia

P. 43–49.
Sofia Borushkina, Gorodnichev A.

This paper discusses the recent introduction of master planning tool in the Russian system of urban planning. Public authorities claim that under obsolescence and rigidity of the existing system of spatial planning master plans should become an effective solution for urban growth and development. Despite all the attention, published master plans have an unclear legal status and their introduction often results in some degree of overlap and blurring with existing spatial development institutions. The research critically examines i) how master plans are (not?) being incorporated in existing urban planning institutes ii) the reasons of master planning practice emergence. Going beyond transitional frameworks, the study discusses institutional change in urban planning in a post-socialist city.

Language: English
Full text
Keywords: post-socialist citiesurban planningurban governance

In book

Ubanism research across Europe: a PhD seminar. 8th International World Urbanisms Seminar
KU-Leuven, 2021.
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