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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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От инвентаризации к природоохранной оценке: развитие метода сеточного картографирования

С. 70–82.
Королева Е. Г., Petrova I.

Extensive data on the flora and fauna of the surveyed areas, as well as individual groups of protected plant and animal species, can be mapped using the square grid method. The paper shows the ways and directions of development of the method, as well as the features of its application in Russia. On the example of the Kaliningrad region and the Republic of Crimea the peculiarities of distribution of protected species of higher vascular plants and vertebrates are analyzed, the places of floristic, faunistic and floristic-faunistic diversity are revealed. The conclusions about the effectiveness of the environmental protection are drawn on the basis of comparison with the network of specially protected natural areas. The paper also assesses the applicability of the method of grid mapping at the regional level to solve environmental problems.

Language: Russian
Keywords: картографированиеmappingsquare grid methodbiogeographyenvironmental assessmentметод квадратных сетокбиогеографияприродоохранная оценка

In book

Картография, геоинформатика и дистанционное зондирование: вызовы 21 века
М.: Полиграфия "СВС-Дизайн", 2019.
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