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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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?

Access to Healthcare and Digitalization

P. 240–246.
Anna Pirogova, Taraskina E., Evgeniy Zazdravnykh

Waiting time in a queue for a health care visit is one of the indicators of a doctor's accessibility. Digitalization reforms in the health care system in Russia during 2012-2016 involved the implementation of ‘terminals' or ‘infomats', allowing patients to view a doctor's available time and sign up for a visit. The research studies using the micro-level data about Living Standards conducted by the Federal State Statistics Service, which is representative on the regional and federal levels. Waiting time is measured as self-reported time by a patient that he/she spent waiting in a queue to see a doctor. The results of the research show a negative association between the usage of terminals and the waiting time in a queue. In addition, the opposite effect of terminals in different regions is discussed.

Language: English
Text on another site
Keywords: inequalityhealth servicesaccessibilityterminale-healthwaiting timeinfomat

In book

GSOM Emerging Markets Conference 2022
M.: St. Petersburg State University Graduate School of Management, 2022.
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