On the mechanics of long-shore sediment transfer on the sea coasts

A.E. Shchodro1, D.A. Antonenkov2, A.N. Sorokin3 1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28  E-mail: ashodro@ya.ru 2Marine Hydrophysical Institute of RAS, RF, Sevastopol, Kapitanskaya St., 2 3PE «Sorokin A.N.», RF, Sevastopol DOI: 10.33075/2220-5861-2023-4-124-134  UDC 551.4.013                                                            EDN: https://elibrary.ru/speyxa Abstract: In the mechanics of the long-shore sediment transfer on the sea coasts and reservoirs, … Read more

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Selecting primary sensor types considering nonlinear error characteristics

Y.E. Shishkin, A.V. Skatkov Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28 E-mail: iurii.e.shishkin@gmail.com DOI: 10.33075/2220-5861-2023-4-112-123  UDC 681.3       EDN: https://elibrary.ru/speyxa Abstract: The paper addresses the application of simulation modeling and mathematical methods to assist decision-making in selecting the type of primary sensor, considering its non-linear error characteristics. The approach integrates algorithmic solutions … Read more

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Estimation of probabilistic characteristics of results of remote sensing of the Earth

Yu.V. Doronina, A.M. Skatkov Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33 E-mail: YVDoronina@sevsu.ru DOI: 10.33075/2220-5861-2023-4-103-111  UDC 519.8                                                             EDN: https://elibrary.ru/speyxa Abstract: The article focuses on solving the problem of approximate estimation of probabilistic characteristics of object detection results during remote sensing of the Earth. In practice, it is often necessary to know about the … Read more

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Methodological approaches to the assessment of meteorological and climatic load on the objects of cultural heritage

A.A. Egorkin1,2, V.P. Evstigneev1,2 1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28 2Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33 E-mail: egorkin1974@yandex.ru DOI: 10.33075/2220-5861-2023-4-94-102  UDC 502.3, 551.504.54                                                 EDN: https://elibrary.ru/speyxa Abstract: At present, a modeling method for the study of safety issues of buildings and structures exposed to meteorological and climatic impacts is … Read more

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Assessment of concentration variability and determination of the main sources of aerosol particles entering the atmosphere over the Crimean peninsula

A.A. Egorkin, V.Yu. Zhuravsky

Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: egorkin1974@yandex.ru

DOI: 10.33075/2220-5861-2023-3-148-153

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Application of the ARIMA model to anomaly detection in the bivalve activity data

E.V. Vyshkvarkova, A.N. Grekov, A.S. Mavrin, V.V. Trusevich

Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

Email: aveiro_7@mail.ru

DOI: 10.33075/2220-5861-2023-3-141-147

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The neural network algorithm and the hybrid model for calculating the carbon dioxide greenhouse gas concentrations

Yu.A. Tunakova 1, S.V. Novikova 1, A.R. Shagidullin 2, V.S. Valiev 2

1Kazan National Research Technical University named after A.N. Tupolev – KAI,

  RF, Kazan, K. Marks St., 10

2Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy

  of Sciences, RF, Kazan, Daurskaya St., 28

E-mail: juliaprof@mail.ru, artur.shagidullin@tatar.ru

DOI: 10.33075/2220-5861-2023-3-133-140 

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Refined mathematical model for calculation of heat capacity of working bodies, influencing efficient and environmental parameters of internal combustion engines

A.G. Klimenko

 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: kag1958776@gmail.com

DOI: 10.33075/2220-5861-2023-2-123-129

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Algorithmic support of the system for express analysis of vertical stratification of ocean water

L.A. Krasnodubets1,2

  1Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

  E-mail: lakrasno@gmail.com

DOI: 10.33075/2220-5861-2023-1-135-142

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