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Subject
News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Journal of Physics: Conference Series

Vol. 1399: International Scientific Conference "Conference on Applied Physics, Information Technologies and Engineering – APITECH-2019" 25–27 September 2019, Krasnoyarsk, Russian Federation. Issue 3. Institute of Physics Publishing (IOP), 2019.

The collection of articles presents the research results of leading experts in the field of application of modern methods of engineering physics and information and measurement technologies in high-tech production, in the field of aerospace, energy, chemical and oil and gas engineering, in the field of economics and organization of metrological support of innovative technologies, as well as in modern areas of research of complex technical and information systems.

Chapters
Neural networks to solve modern artificial intelligence tasks
Gruzenkin D. V., Sukhanova A. V., Novikov O. S. et al., , in: Journal of Physics: Conference SeriesVol. 1399: International Scientific Conference "Conference on Applied Physics, Information Technologies and Engineering – APITECH-2019" 25–27 September 2019, Krasnoyarsk, Russian Federation. Issue 3.: Institute of Physics Publishing (IOP), 2019. P. 1–7.
Today the information technologies are increasing and improving by leaps and bounds becoming smarter and faster. And artificial intelligence is penetrating deeper and deeper in everyday life. So, artificial intelligence field is becoming more interesting for modern scientists and engineers. Artificial neural networks are used all over the world as one of the approaches that ...
Added: October 20, 2021
Research target: Materials Technologies Economics and Management Computer Science Electronics and Electrical Engineering Education
Language: English
DOI
Text on another site
Keywords: energy innovative technologiessoftware engineering education, aerospace industrySoftware Engineering and Information Managementchemical industryengineering physicsinformation and measurement technologieshigh-tech productionoil and gas engineeringcomplex technical and information systems
Journal of Physics: Conference Series
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This paper, with a particular emphasis on Genetic Algorithm (GA), proposes a novel approach that integrates clustering mechanisms, predator-prey dynamics, and a distinctive selection strategy for generating subsequent populations. The proposed evolutionary algorithm, referred to as Genetic Speciation Algorithm with Interplay Among Species (GSAIS), is comprehensively evaluated against several variants of GAs as well as ...
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Proceedings of the 34th IUPAP Conference on Computational Physics: CCP2023, August 4-8, Kobe, Japan
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This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...
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