Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Vasiliy N. Leonenko"'
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 20, Iss 1, Pp 118-124 (2020)
Subject of Research. The paper presents comparative analysis of forecasting methods for users’ response to a message emerged on social media and application of machine learning. The method that provides the highest accuracy is preferred. Method. Th
Externí odkaz:
https://doaj.org/article/903945ee2bfb4fcea355131c847c981a
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 16, Iss 6, Pp 1145-1148 (2016)
The paper presents two methods of predicting the peak of influenza epidemics using population-based mathematical models: Baroyan-Rvachev and modified Kermack-McKendrick model, proposed by the authors. We perform the comparison of the prediction accur
Externí odkaz:
https://doaj.org/article/f7a72b9487574789b51eb91d30f095d1
Autor:
Petrus M.A. Sloot, Janusz Holyst, George Kampis, Michael Harold Lees, Sergey A. Mityagin, Sergey V. Ivanov, Klavdiya O. Bochenina, Valentina Yu. Guleva, Ksenia D. Mukhina, Denis A. Nasonov, Nikolay A. Butakov, Vasiliy N. Leonenko, Anastasia A. Lantseva
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 16, Iss 6, Pp 967-995 (2014)
The paper describes a problem of computer simulation of critical phenomena in complex social systems on a petascale computing systems in frames of complex networks approach. The three-layer system of nested models of complex networks is proposed incl
Externí odkaz:
https://doaj.org/article/f8df0caf82c743b68904ccea8e8973f8
Autor:
Vasiliy N. Leonenko
Publikováno v:
Russian Journal of Numerical Analysis and Mathematical Modelling. 36:279-291
In the present paper, we consider a compartmental epidemic model which simulates the co-circulation of three influenza strains, A(H1N1)pdm09, A(H3N2), and B, in a population with the history of exposure to these virus strains. A strain-specific incid
Publikováno v:
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 8; Pages: 1216
Today, periprosthetic joint infection (PJI) is one of the leading indications for revision surgery and the most ominous complication in artificial joint patients. The current state of the art for treating PJI requires the development of methods for p
Publikováno v:
Studies in health technology and informatics. 285
In this paper, we present a framework, which aims at facilitating the choice of the best strategy related to the treatment of periprosthetic joint infection (PJI). The framework includes two models: a detailed non-Markovian model based on the decisio
Publikováno v:
pHealth
In this paper, we present a framework, which aims at facilitating the choice of the best strategy related to the treatment of periprosthetic joint infection (PJI). The framework includes two models: a detailed non-Markovian model based on the decisio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f137dad08b52098fba579f9ebffefeb
https://doi.org/10.3233/shti210581
https://doi.org/10.3233/shti210581
Publikováno v:
Procedia Computer Science. 156:43-48
In this paper, we present results of in silico simulation of dendritic electroless silver colony growth model on a hexagonal cellular automata lattice. A cellular automaton, based on a NetLogo framework, was used to replicate the behavior of a colony
Publikováno v:
Computational and Mathematical Organization Theory. 25:36-47
Ohio is leading the nation in an epidemic of overdose deaths, most of which are caused by opioids. Through this study we estimate associations between opioid drug overdoses measured as EMS calls and model-predicted drug misuse. The RTI-developed synt