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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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Digital Geography: Proceedings of the International Conference on Internet and Modern Society (IMS 2023)

Springer, 2023.
Under the general editorship: M. Bakaev, R. Bolgov, A. Chugunov, R. Pereira, E. R, W. Zhang

International conference “Internet and Modern Society” (IMS-2023) is mainly organized by ITMO University, held in St. Petersburg, from 26 to 28 June 2023, during the Information Society Week. Important tasks of the IMS-2023 are contribution to the formation of specialists’ international community and promotion of research and development in the field of information society technologies. 

Chapters
Where Is Happily Ever After? A Study of Emotions and Locations in Russian Short Stories of 1900–1930
Moskvina A., Kirina M., , in: Digital Geography: Proceedings of the International Conference on Internet and Modern Society (IMS 2023).: Springer, 2023. P. 123–135.
The paper tackles the problem of the automatic detection of emotions in literary texts using distributional semantics techniques. The experiment was carried out on the material of Russian short stories from the 1900-1930s. We investigated the emotional lexis distribution across different locations in narratives. At first, we calculated the semantic association score between each word ...
Added: December 9, 2023
Exploring Public Interest in Psychological Help in Russia: Google Trends Analysis
Polekhina S., Sinyavskaya Y., , in: Digital Geography: Proceedings of the International Conference on Internet and Modern Society (IMS 2023).: Springer, 2023.
In recent years, the topic of psychological health has become more prominent in the Russian media landscape. However, available statistics provide only general estimates. In this research, we analyze the trends in search queries related to psychological help and well-being over a 10-year period (2012–2023). The main goal was to explore the dynamics of interest ...
Added: August 6, 2025
Research target: Social Sciences
Language: English
DOI
Keywords: computational linguistics
Digital Geography: Proceedings of the International Conference on Internet and Modern Society (IMS 2023)
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This paper introduces a novel, open-access dataset designed to advance research into early childhood eating behaviors and their familial determinants. The dataset integrates anthropometric measurements (weight, height, age, BMI, and Estimated Energy Requirement) from 203 children aged 4–14 years alongside rich, granular data on food selection behaviors gathered via Dish-I-Wish—a custom, gamified web application developed ...
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