Výsledky vyhledávání - "Elena V. Simonova"

Akademický článek

Variability of pathogenicity factors representative of the human microbiome under the influence of γ-Fe2O3 nanoparticles

Autor: Lyubov Kokorina, Yana V. Chernyavskaya, Tatiana P. Denisova, Elena V. Simonova, Alexander P. Safronov, Galina V. Kurlyandskaya

Publikováno v: Chimica Techno Acta, Vol 9, Iss 4 (2022)

Biomedical applications of nanoparticles require deep understanding of their interaction with normal human microflora. Previously, the toxic and mutagenic properties of iron oxide nanoparticles as well as their effect on the growth and morphology of

Externí odkaz: https://doaj.org/article/34fa109ac7774ecb9c17f8a0544eee58

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Development of a Knowledge Base in the 'Smart Farming' System for Agricultural Enterprise Management

Autor: Petr Skobelev, A.L. Morokov, G. Yu. Voshchuk, Denis Budaev, Sergey Smirnov, Elena V. Simonova

Publikováno v: Procedia Computer Science. 150:154-161

Increasing the efficiency of agricultural production is a very important task. To solve this problem, it is proposed to use the “Smart Farming” cloud system for precision farming management. The novelty of the proposed approach lies in using the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02b7c35e7512785721c33119ac2c5cae
https://doi.org/10.1016/j.procs.2019.02.029

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Development of Digital Twin of Plant for Adaptive Calculation of Development Stage Duration and Forecasting Crop Yield in a Cyber-Physical System for Managing Precision Farming

Autor: Igor Mayorov, Oleg Goryanin, A. S. Tabachinskiy, Elena V. Simonova, Alexey Zhilyaev, Vladimir Yalovenko, Petr Skobelev

Publikováno v: Cyber-Physical Systems ISBN: 9783030678913

The chapter proposes a formalized model of a digital twin of the plant on the basis of a graph of transitions of states corresponding to stages of plant development, a description of which is contained in the knowledge base. The graph of states is ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a871bb5eff15b34a47b1fd9af65f3af
https://doi.org/10.1007/978-3-030-67892-0_8

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Adaptive Planning Method for Operations of a Multi-satellite Swarm for Earth Remote Sensing in Real Time

Autor: Vitaliy Travin, Petr Skobelev, Vladimir Galuzin, Anastasiya Galitskaya, Elena V. Simonova

Publikováno v: ICAART (1)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84c75314717f2ecef493bdc4bef6549b
https://doi.org/10.5220/0010215400480057

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Multi-agent approach for developing a digital twin of wheat

Autor: Petr Skobelev, Elena V. Simonova, Vladimir Yalovenko, Vladimir Laryukhin, Olga Yalovenko, Oleg Goryanin

Publikováno v: SMARTCOMP

The paper is devoted to development of a digital twin (DT) of plant. It is built as a smart system based on the knowledge base on macrostages of plant development and multiagent technology that allows for detailed monitoring and control of plant deve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c894d7b7946159f0c28bf0c86cabb70
https://doi.org/10.1109/smartcomp50058.2020.00062

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Adaptive Clustering through Multi-Agent Technology: Development and Perspectives

Autor: Petr Skobelev, Igor Mayorov, Sergey Grachev, Elena V. Simonova

Publikováno v: Mathematics, Vol 8, Iss 1664, p 1664 (2020)

The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering. The proposed methods provide new principles of self-organization of records and clusters, represented by software

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22911eb8964697f883181def33850efb
https://www.mdpi.com/2227-7390/8/10/1664

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Developing a smart cyber-physical system based on digital twins of plants

Autor: Elena V. Simonova, Vladimir Yalovenko, Vladimir Laryukhin, Petr Skobelev, Oleg Goryanin, Olga Yalovenko

Publikováno v: 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).

The paper proposes a multi-agent approach to development of “digital twins” of plants, which reflects phases of plant development and allows for more accurate forecasting of harvest and planning of agrotechnical measures. It also shows the possib

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::35d3c611badf94c4229ad469b83fb4ed
https://doi.org/10.1109/worlds450073.2020.9210359

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