Potryasaev

Automatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data

Literature

Zelentsov V., Brovkina O., Pimanov I.,Potryasaev S. Automatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data // IOP Conference Series: Earth and Environmental Science, Volume 507, All-Russian scientific-technical conference “Digital technologies in forest sector” 26 – 27 March 2020, Saint Petersburg, Russian Federation. https://doi.org/10.1088%2F1755-1315%2F507%2F1%2F012034

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Application of Cyber-Physical System and Real-Time Control Construction Algorithm in Supply Chain Management Problem

Literature

Inna Trofimova, Boris Sokolov, Dmitry Nazarov, Semyon Potryasaev, Andrey Musaev, and Vladimir Kalinin. Application of Cyber-Physical System and Real-Time Control Construction Algorithm in Supply Chain Management Problem // Intelligent Distributed Computing XIII / I. Kotenko et al. (Eds.) Proceedings of the 13th International Symposium on Intelligent Distributed Computing IDC 2019 (7–10 October 2019, Saint-Petersburg, Russia). Series “Studies in Computational Intelligence”, vol 868. Springer, Cham. Р.394–403.  https://doi.org/10.1007/978-3-030-32258-8_46

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Automated logical-probabilistic methodology and software tool as component of the complex of methodologies and software tools for evaluation of reliability and survivability of onboard equipment of small satellites

Literature

Skobtsov V., Lapitskaja N., Saksonov R., Potryasaev S. Automated logical-probabilistic methodology and software tool as component of the complex of methodologies and software tools for evaluation of reliability and survivability of onboard equipment of small satellites // Advances in Intelligent Systems and Computing, Volume 763, 2019, 7th Computer Science On-line Conference, CSOC 2018; Vsetin; Czech Republic; 1 April 2018 to 1 April 2018. P.452-463. http://doi.org/10.1007/978-3-319-91186-1_47

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Theoretical and Experimental Evaluation of PSO-K-Means Algorithm for MRI Images Segmentation Using Drift Theorem

Literature

Samer El-Khatib, Yuri Skobtsov, Sergey Rodzin, and Semyon Potryasaev. Theoretical and Experimental Evaluation of PSO-K-Means Algorithm for MRI Images Segmentation Using Drift Theorem // Artificial Intelligence Methods in Intelligent Algorithms. Proceedings of 8th Computer Science On-line Conference 2019, Vol. 2. P.316-323. https://doi.org/10.1007/978-3-030-19810-7_31

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Conference at Space Research Institute of the RAS

News

On November 11-15, 2019, the 17th All-Russian Open Conference «Modern issues of remote sensing from space» was held at Space Research Institute of the RAS (Moscow).

At the section “Remote sensing of vegetation and soil cover: monitoring of forest ecosystems”, LITSAM representative Victor Mochalov made a report on the topic:

Estimation of anthropogenic impact on forests in border regions based on multi- and hyperspectral Earth observation data processing” (Authors: Mochalov V.F., Grigorieva O.V., Zelentsov V.A., Potriasaev S.A., Alekseev A.S., Huitu H.).

The research is carried out jointly with specialists from St. Petersburg State Forestry University and the Natural Resources Institute Finland (LUKE) with financial support of the international project KS1309 “InnoForestView” and includes current results of the project implementation.

Conference paper is published in electronic proceedings.