№2 (2021) УДК 550.(34.012+34.06):004.(6+9) © DOI: 10.47148/1609-364X-2021-2-33-46 V.I. Vasiliev, E.V. Vasilieva, N.S. Zhatnuev Key words: applied programming, computer modeling, non-stationary thermal conductivity, mantle-crust migrant, adiabatic-geothermal interval, Vladi Gead 4.0. Section: Modeling geo objects and geo-processes
DOI:10.47148/1609-364X-2021-2 Geoinformational criteria for distinguishing the quasi-linear chains of earthquake migration in epicentral fields of complex geometry and variable density of shocks distribution A.A. Kakourova, A.V. Klyuchevskii, V.M. Dem’yanovich, A.A. Klyuchevskaya Digital simulation trial of hydroisostasy by finite element methodR.F. Bulgakov … Continue reading →
№1 (2021) УДК 004.413+004.94+551.2.03::536.21 DOI: 10.47148/1609-364X-2021-1-51-73 V.I. Vasiliev, E.V. Vasilieva, N.S. Zhatnuev Keywords: applied programming, computer modeling, non-stationary thermal conductivity, mantle-crust migrant, adiabatic-geothermal interval, Vladi Gead 4.0. Section: Modeling geo objects and geo-processes
DOI: 10.47148/1609-364X-2021-1 The nearest prospects of the geoinformation complex INTEGRO development Ye.N. Cheremisina, M.Ya. Finkelstein, K.V. Deyev, A.V. Muradyan … » The article describes the main directions of development of the INTEGRA geoinformation complex, as well as geological, geophysical and information problems, for the solution … Continue reading →
№4 (2019) Vasiliev V.I., Zhatnuev N.S.,Vasilieva E.V. Section: Modeling geo objects and geo-processes Keywords: mantle-crust migrant, thermal perturbance, logical approximations, Reynolds analogy, computer modeling .
№2 (2019) Vasiliev V.I., Vasilieva E.V.,Zhatnuev N.S., Sanzhiev G.D. Section: Modeling geo objects and geo-processes Keywords: mantle-crust migrant, overpressure, parametric modeling.
Capabilities of ArcGIS tools for structure analysis of power grids.Karpachevsky A.M., Novakovsky B.A. … » The paper deals with the basic concepts of network analysis in relation to electric networks, as well as the possibility of modules and geographic information … Continue reading →
Optimization of the initial data division for prediction chromium spatial distribution by a feedforward neural network.Buevich A.G., Sergeev A.P., Rakhmatova A.Yu., Baglaeva E.M., Shichkin A.V., Subbotina I.E., Sergeeva M.V., Markelov Yu.I. … » The article proposes an approach to optimize … Continue reading →