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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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Unemployment Challenge and Labor Market Participation of Arab Gulf Youth: A Case Study of the UAE

Ch. 30. P. 511–529.
Poplavskaya A., Karabchuk T., Shomotova A.

The goal of the study is to explore the unemployment challenge for the United Arab Emirates (UAE) youth in comparison with other Gulf countries. The chapter uses multiple data sources to provide a complex analysis of recent dynamics and the current situation of school-to-work transition among Emirati youth. The empirical part of the analysis provides the rear information on actual career paths and challenges for youth to find their first job. Skills shortages and lack of professional qualities are among the frequently named reasons for not getting a job. For young women, such obstacles as family responsibilities and geographical restriction of job search are reported. Young men find jobs much faster than women. The main channels of job search for the Emiratis are personal liaisons and university contacts.

Language: English
Full text
DOI
Text on another site
Keywords: безработицамолодежьпоиск работыгосударственный сектор экономикиpublic sectorunemploymentprofessional skillsпрофессиональные навыкиjob searchyouthОАЭUAE
Publication based on the results of:
The Russians’ socio-economic coping strategies with the crisis (2023)

In book

Social Change in the Gulf Region. Multidisciplinary Perspectives
Social Change in the Gulf Region. Multidisciplinary Perspectives
Singapore: Springer, 2023.
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