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Subject
News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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?

IoT-Platform for ML-based Industrial Air Emissions Data Processing

P. 1045–1050.
Kychkin A., Oleg Gorshkov, Mikhail Kukarkin

With the development of Industry 4.0, it is necessary to search and develop IoT platforms for monitoring, control, and management of industrial enterprises' impact on atmospheric air. The proposed platform can be used to create unified integrated solutions for pollution monitoring, online analysis of statistics and forecasting the dynamics of atmospheric air pollution, as well as automatic regulation of technological processes according to the criterion of environmental safety. The platform differs from the known ones by its modular solution principle, including the use of an integration server based on Industrial Internet of Things (IoT) technologies, availability of flexible customizable visualization based on customizable widgets, including GIS, as well as use of a low computational complexity machine learning analytical server in the control loop, which together allow for quick design and integration of SaaS environmental services operating in online mode.

Language: English
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DOI
Text on another site
Keywords: машинное обучениеforecastingпрогнозplatformинтернет вещейmachine learningархитектура системыэкомониторингплатформаsystem architecture Internet of Thingsecological monitoring

In book

2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Sochi: IEEE, 2022.
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