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Subject
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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Статистическая модель для оценки формирования климатогенных угроз по данным мониторинга климата

Метеорология и гидрология. 2020. № 5. С. 59–65.
Semenov S., Попов И. О., Ясюкевич В. В.

A statistical model for the formation of climate-related hazards is proposed. The formation is described by several meteorological variables or applied climatic indices characterizing a calendar year. Their values or data for their calculation are provided by climate monitoring systems. A climate- related hazard arises when these variables or applied climatic indices together go beyond their safe ranges over substantial number of several consecutive years. Respective minimum values for the number of such years are substantiated for different levels of the likelihood of occurrence of a climate-related hazard. The developed methodology was applied to obtain probabilistic estimates of the climatic range of the tick Ixodes ricinus (Linnaeus, 1758), a vector of dangerous human diseases, and its changes in 2001-2010 as compared to 1971-1980. The results are presented in the form of schematic maps.

Language: Russian
Text on another site
Keywords: изменение климатаоценкаmappingclimate change IXODES RICINUSCLIMATE-RELATED HAZARD STATISTICAL MODEL ASSESSMENT EXAMPLECLIMATIC RANGEКЛИМАТОГЕННАЯ УГРОЗАКАРТОГРАФИЧЕСКОЕ ОТОБРАЖЕНИЕКЛИМАТИЧЕСКИЙ АРЕАЛ СТАТИСТИЧЕСКАЯ МОДЕЛЬ
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