Литература

Multi-model estimation of the dynamics of plant community phytomass

V. Mikhailov, A. Spesivtsev, V. Sobolevsky, N. Kartashev. Multi-model estimation of the dynamics of plant community phytomass // 13th IEEE International Conference “Application of Information and Communication Technologies” (AICT2019) (23–25 October 2019, Baku). P.322–328

Assessment of Climation Condition for Siberian Reindeer Herding on the Basis of Heat Balance Modelling

Литература

K.B. Klokov and V.V. Mikhailov. Assessment of Climation Condition for Siberian Reindeer Herding on the Basis of Heat Balance Modelling // Arctic Vol. 72, no. 1 (March 2019) P.28–42. https://doi.org/10.14430/arctic67916

To the study of the kinetics of glass corrosion during their inter-act with bioremediments

Литература

Sirenek V.A., Musaev A.A. To the study of the kinetics of glass corrosion during their interact with bioremediments // Glass Physics and Chemistry. 2019. Vol. 45. no.3. P.243 -249. https://doi.org/10.1134/S1087659619030118

Possible ways of assessing the resilience of supply chain networks in conditions of unpredictable disruptions

Литература

Alexander Pavlov, Dmitry Pavlov, Valerii Zakharov. Possible ways of assessing the resilience of supply chain networks in conditions of unpredictable disruptions. IFAC-PapersOnLine. 52, 13. 2019. С.1283-1288. DOI: https://doi.org/10.1016/j.ifacol.2019.11.375

Анализ оперативности информационных взаимодействий в низкоорбитальных многоспутниковых группировках

Литература

Карсаев О.В. Анализ оперативности информационных взаимодействий в низкоорбитальных многоспутниковых группировках // Труды СПИИРАН. 2019. Том 18. №4. С.858–886.
DOI: 10.15622/sp.2019.18.4.858-886

Integrated use of GIS, remote sensing data and a set of models for operational flood forecasting

Литература

Zelentsov V.A., Potryasaev S.A., Pimanov I.Y., Ponomarenko M.R. Integrated use of GIS, remote sensing data and a set of models for operational flood forecasting // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2019, XLII-3/W8, 477–483. https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019

Computational Processes Management Methods and Models in Industrial Internet of Things

Литература

Potriasaev S., Zelentsov V., Pimanov I. Computational Processes Management Methods and Models in Industrial Internet of Things // Advances in Intelligent Systems and Computing, vol 1047. 2019. P. 266-276. Springer, Cham. DOI: 10.1007/978-3-030-31362-3_26

Collecting and Processing Distributed Data for Decision Support in Social Ecology

Литература

Dmitry Verzilin, Tatyana Maximova, and Irina Sokolova. Collecting and Processing Distributed Data for Decision Support in Social Ecology // 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.443–448. https://doi.org/10.1007/978-3-030-32258-8_52

Evaluation of the Dynamics of Phytomass in the Tundra Zone Using a Fuzzy-Opportunity Approach

Литература

V.V. Mikhailov, Alexandr V. Spesivtsev, and Andrey Yu. Perevaryukha. Evaluation of the Dynamics of Phytomass in the Tundra Zone Using a Fuzzy-Opportunity Approach // 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. P.449–454. https://doi.org/10.1007/978-3-030-32258-8_53

Satellite Constellation Control Based on Inter-Satellite Information Interaction

Литература

Oleg Karsaev and Evgeniy Minakov. Satellite Constellation Control Based on Inter-Satellite Information Interaction // 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. P.374–384. https://doi.org/10.1007/978-3-030-32258-8_44