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  • Анализ влияния погодных условий на динамику тепловой энергии в жилом фонде города Томск
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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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Анализ влияния погодных условий на динамику тепловой энергии в жилом фонде города Томск

С. 365–368.
Зорин П. А., Stukach O.
Language: Russian
Full text
Text on another site
Keywords: weatherпогода

In book

Инновационные, информационные и коммуникационные технологии: сборник трудов XVII Международной научно-практической конференции.
Инновационные, информационные и коммуникационные технологии: сборник трудов XVII Международной научно-практической конференции.
М.: Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2020.
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Prior research suggests that weather conditions may substantively impact people’s emotional state and mood. In Russia, the relationship between weather and mood has been studied for certain regions—usually with severe or extreme climatic and weather conditions—but with quite limited samples of up to 1,000 people. Over the past decade, partly due to the proliferation of ...
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