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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.
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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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?

Situation Monitoring Based on a Bimodal Model of the World

P. 208–213.
Kharlamov A. A., Zharkoy R.

Situation Monitoring Based on a Bimodal Model of the World

Language: English
Keywords: Situation MonitoringBimodal Model of the World

In book

Selected Contributions to the 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021)
[б.и.], 2021.
Similar publications
Situation Monitoring Based on a Bimodal Model of the World
Kharlamov A. A., Zharkoy R., , in: The 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021).: [б.и.], 2021. P. 208–213.
Added: January 5, 2022
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