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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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Бродвей в разрезе:профильное районирование как методика полевого исследования

Городские исследования и практики. 2017. Т. 2. № 3. С. 43–63.
Nikogosyan K., Pavlyuk S.

Broadway is the most famous street of New York City. It follows the island of Manhattan along its whole length and through many of its vernacular regions. Field research of functional, social-economic, architectural and mental differentiation of the street from Bowling Green to 142 Street in Spanish Harlem shaped the methods of linear zoning and revealed 16 unique regions in the researched segment. These regions turned out to be functional, but their borders and composition are based on the vernacular regions of Manhattan. It appears that Broadway, as a major trade and social thruway, forms the surrounding urban landscape. But the role of vernacular regions, through which street passes, remains important and sometimes even crucial.

Research target: Earth Sciences Social and Economic Geography (including Urban and Transportation Studies) Computer Science
Priority areas: sociology humanitarian
Language: Russian
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Keywords: field researchполевые исследованияGISГИСBroadwaylinear zoningManhattan neighborhoodsvernacular regionsБродвейпрофильное районирование улицырайоны Манхэттенавернакулярные районы
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