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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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Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital Economics

Vol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics. Switzerland : Springer, 2020.
Academic editor: Z. Hu, S. Petoukhov, M. He

This book comprises high-quality, refereed research papers presented at the 2019 International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2019): The symposium, held in Moscow, Russia, on 4–6 October 2019, was organized jointly by Moscow State Technical University and the International Research Association of Modern Education and Computer Science. The book discusses the state of the art in areas such as computer science and its technological applications; intelligent systems and intellectual approaches; and digital economics and methodological approaches. It is an excellent reference resource for researchers, undergraduate and graduate students, engineers, and management practitioners interested in computer science and its applications in engineering and management.

Chapters
Optimal Real-Time Image Processing with Imperfect Information on Convolution-Type Distortion
Golubtsov P., , in: Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital EconomicsVol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Switzerland: Springer, 2020. Ch. 24 P. 259–273.
We study a problem of designing an optimal two-dimensional circularly symmetric convolution kernel (or point spread function (PSF)) with a circular support of a chosen radius R. Such function will be optimal for estimating an unknown signal (image) from an observation obtained through a convolution-type distortion with the additive random noise. This technique is then ...
Added: March 15, 2020
Scalability and Parallelization of Sequential Processing: Big Data Demands and Information Algebras
Golubtsov P., , in: Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital EconomicsVol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Switzerland: Springer, 2020. P. 274–298.
Procedures of sequential updating of information are important for “big data streams” processing because they avoid accumulating and storing large data sets. As a model of information accumulation, we study the Bayesian updating procedure for linear experiments. Analysis and gradual transformation of the original processing scheme in order to increase its efficiency lead to certain ...
Added: March 16, 2020
Research target: Economics and Management Nanotechnologies Medical Technologies Mechanics and Mechanical Engineering Electronics and Electrical Engineering Biology Physics Computer Science Mathematics
Priority areas: economics IT and mathematics business informatics mathematics engineering science
Language: English
DOI
Text on another site
Keywords: искусственный интеллектинтеллектуальные системыцифровая экономикаartificial intelligence computer sciencedigital economyIntelligent SystemsИнформатикаCSDEIS2019CSDEIS
Advances in Intelligent Systems and Computing book series Vol. 1127. Advances in Intelligent Systems, Computer Science and Digital Economics
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