Zobrazeno 1 - 10
of 65
pro vyhledávání: '"A S Borodulin"'
Autor:
A. V. Vorobev, S. E. Einullaeva, A. S. Borodulin, M. A. Shikina, S. A. Aliev, A. G. Solopova, V. N. Galkin, A. E. Ivanov, V. O. Bitsadze, J. Kh. Khizroeva, D. V. Blinov, J.-C. Gris, I. Elalamy, A. D. Makatsariya
Publikováno v:
Акушерство, гинекология и репродукция, Vol 18, Iss 3, Pp 286-299 (2024)
Aim: to study the features of thrombotic complications in cancer patients during COVID-19 infection, and identify the most significant diagnostic and prognostic criteria.Materials and Methods. Within the framework of cohort non-randomized study, ther
Externí odkaz:
https://doaj.org/article/4629f987409d40e4a73c66f2867d75e7
Autor:
Ivan P. Malashin, Igor S. Masich, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin, Sergei I. Tokarev, Denis I. Vasilev
Publikováno v:
IEEE Access, Vol 12, Pp 145590-145607 (2024)
Checking receipt data is essential for tax authorities to ensure compliance with financial reporting regulations, identify potential anomalies, and prevent tax violations. This study explores the application of genetic algorithms (GA) for hyperparame
Externí odkaz:
https://doaj.org/article/5382b1648fbe4c798867b1974fb7486c
Autor:
Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Neluyb, Aleksei S. Borodulin
Publikováno v:
IEEE Access, Vol 12, Pp 56707-56718 (2024)
This paper introduces a novel approach for the detection of automated entities in online environments through the analysis of mouse dynamics. Leveraging fractional derivatives and vector cross products, our methodology scrutinizes the intricate patte
Externí odkaz:
https://doaj.org/article/76183ae97e0f4da5a1932a0ccec7c4a7
Autor:
Ivan P. Malashin, Daniil S. Daibagya, Vadim S. Tynchenko, Vladimir A. Nelyub, Aleksei S. Borodulin, Andrei P. Gantimurov, Sergey A. Ambrozevich, Alexandr S. Selyukov
Publikováno v:
IEEE Access, Vol 12, Pp 53320-53334 (2024)
The study delves into the temporal dynamics of luminescence in colloidal $Ag_{2}S$ quantum dots, utilizing time series forecasting techniques. Through an analysis of intensity measurements taken at different time intervals, it uncovers temporal trend
Externí odkaz:
https://doaj.org/article/062eb25ea8184aff9cc90465a60224fc
Autor:
Valeriya V. Tynchenko, Vadim S. Tynchenko, Vladimir A. Nelyub, Vladimir V. Bukhtoyarov, Aleksey S. Borodulin, Sergei O. Kurashkin, Andrei P. Gantimurov, Vladislav V. Kukartsev
Publikováno v:
Mathematics, Vol 12, Iss 2, p 276 (2024)
Artificial neural networks are successfully used to solve a wide variety of scientific and technical problems. The purpose of the study is to increase the efficiency of distributed solutions for problems involving structural-parametric synthesis of n
Externí odkaz:
https://doaj.org/article/82840e1c62a841eabc276cdf35001fe6
Autor:
Ivan A. Barantsov, Alexey B. Pnev, Kirill I. Koshelev, Vadim S. Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin
Publikováno v:
Sensors, Vol 23, Iss 2, p 582 (2023)
This article is devoted to the development of a classification method based on an artificial neural network architecture to solve the problem of recognizing the sources of acoustic influences recorded by a phase-sensitive OTDR. At the initial stage o
Externí odkaz:
https://doaj.org/article/2a29601e11f44c6ab4cdb5b8b9b261fa
Autor:
Igor S. Masich, Vadim S. Tyncheko, Vladimir A. Nelyub, Vladimir V. Bukhtoyarov, Sergei O. Kurashkin, Aleksey S. Borodulin
Publikováno v:
Computation, Vol 10, Iss 10, p 185 (2022)
Logical analysis of data (LAD), an approach to data analysis based on Boolean functions, combinatorics, and optimization, can be considered one of the methods of interpretable machine learning. A feature of LAD is that, among many patterns, different
Externí odkaz:
https://doaj.org/article/dfd3dcb7eb0946798d7553296f645b0c
Autor:
A. S. Borodulin, V. V. Maltsev, A. A. Bertaeva, S. Yu. Fedorov, A. G. Tereshkov, V. A. Nelyub, G. V. Malysheva
Publikováno v:
Polymer Science, Series D. 15:517-522
Autor:
Vladimir V. Bukhtoyarov, Vadim S. Tynchenko, Vladimir A. Nelyub, Igor S. Masich, Aleksey S. Borodulin, Andrei P. Gantimurov
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 215
Currently, ensemble approaches based, among other things, on the use of non-network models are powerful tools for solving data analysis problems in various practical applications. An important problem in the formation of ensembles of models is ensuri
Publikováno v:
Economic Annals-ХХI. 185:178-188
Introduction. In the United States, Europe, and Asia, there have been spikes in cyber attacks on protected and confidential information (including bank data, personal data, and confidential business information) over the period 2000-2020. Data protec