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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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1st International Conference on Innovative Informational and Engineering Technologies (IIET-2020) 28-29 May 2020, Stavropol, Russian Federation

Vol. 873. Bristol : IOP Publishing, 2020.
Сахнюк П. А.

Artificial intelligence and machine learning helps to improve the quality of customer service and change the methods of companies’ activities. For this reason, enterprises should consider integrating these technologies into digital transformation plans to remain competitive. Low-code machine learning platforms allow companies and business professionals with minimal coding experience to create applications and fill in the gaps of the personnel in their organization. Automated machine leaning (AutoML) technology represents the next step in the evolution of machine learning, providing non-technical companies with the ability to create machine learning applications quickly and cheaply

Chapters
Intellectual Technologies in Digital Transformation
Sakhnyuk P. A., Sakhnyuk T. I., , in: 1st International Conference on Innovative Informational and Engineering Technologies (IIET-2020) 28-29 May 2020, Stavropol, Russian FederationVol. 873.: Bristol: IOP Publishing, 2020. P. 012016-1–012016-8.
Artificial intelligence and machine learning helps to improve the quality of customer service and change the methods of companies’ activities. For this reason, enterprises should consider integrating these technologies into digital transformation plans to remain competitive. Low-code machine learning platforms allow companies and business professionals with minimal coding experience to create applications and fill in ...
Added: January 26, 2021
The use of intelligent technologies of Business Intelligence Platforms and Data Science and Machine Learning Platforms for monitoring the socio-economic indicators of the administrative districts of Moscow
Сахнюк П. А., , in: 1st International Conference on Innovative Informational and Engineering Technologies (IIET-2020) 28-29 May 2020, Stavropol, Russian FederationVol. 873.: Bristol: IOP Publishing, 2020. P. 012015.
The article discusses the possibilities of studying the state of the social sphere according to the repository of the Moscow Government open data portal by administrative districts and city districts using Business Intelligence Platforms and Data Science and Machine Learning Platforms intellectual technologies. Opportunities are presented for using machine learning technologies for business analytics platforms ...
Added: January 26, 2021
Development of Telecommunication System Units in Parallel Neural Network Basis
Sakhnyuk P., , in: 1st International Conference on Innovative Informational and Engineering Technologies (IIET-2020) 28-29 May 2020, Stavropol, Russian FederationVol. 873.: Bristol: IOP Publishing, 2020. P. 012019-1–012019-8.
The article suggests the integration of a neural network as a parallel element base in a telecommunication system. In this case, the ability to learn or adapt to external conditions is applied as the main advantage. For telecommunication systems in conditions when it is possible, this ability will improve noise immunity, reliability, operability, etc. The ...
Added: January 26, 2021
Research target: Computer Science
Priority areas: business informatics
Language: English
DOI
Text on another site
Keywords: бизнес-информатикаData ScienceData Miming
1st International Conference on Innovative Informational and Engineering Technologies (IIET-2020) 28-29 May 2020, Stavropol, Russian Federation
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