№3 (2023) УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2023-3-63-70 Baglaeva E.M., Sergeev A.P., Shichkin A.V., Buevich A.G., Butorova A.S. Key words: representativeness of points, sampling, heavy metals, artificial neural networks, choice of training subset Section: Geoecology

DOI:10.47148/1609-364X-2023-3 Information and analytical support for oil and gas exploration based on locally produced software and technologyCheremisina E.N., Chesalov L.E., Lyubimova A.V., Markov K.N., Finkelstein M.Ya., Spiridonov V.A., Sukhanov M.G. Information model of a geoinformation system for studying the geometry of rock massif based on seismic … Continue reading →

№2 (2022) Sergeev A.P., Butorova A.S., Shichkin A.V., Buevich A.G., Baglaeva E.M., Subbotina I.E. УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2022-2-42-53 Key words: permutation method, randomization, predicted values, observed values, spatial distribution, predictive ability assessment, artificial neural networks Section: Modeling geo objects and geo-processes

DOI:10.47148/1609-364X-2022-2 Potential of the magnetotelluric data analysis block of the GIS INTEGRO complexKupriyanov I.S. The use of geoinformation technologies in applied tasks of agricultural lands monitoringAfanasyev V.S. Geoinformation technology for road surface planning and accountingEremeev S.V., Egai M.V., Abakumov A.V. Improving the … Continue reading →

№1 (2022) УДК 504.064.2.001.18https://doi.org/10.47148/1609-364X-2022-1-32-39 Butorova A.S., Sergeev A.P., Shichkin A.V., Buevich A.G., Baglaeva E.M.,Sergeeva M.V. Keywords: counter-prediction method, missing data recovering, artificial neural networks, snow cover, dust. Section: Modeling geo objects and geo-processes

DOI:10.47148/1609-364X-2022-1 Prototype of a geonformation system for solving tasks of waste and secondary resources management on the example of the Arctic zone of RussiaV.A. Maryev, E.N. Cheremisina, A.V. Lyubimova, E.F. Shamaeva, M.G. Sukhanov,E.A. Goryunova Features of the methodology for studying the dynamics of tidal … Continue reading →

№4 (2019) Buevich A.G.,Sergeev A.P.,Rakhmatova A.Yu., Baglaeva E.M.,Shichkin A.V., Subbotina I.E.,Sergeeva M.V.,Markelov Yu.I. Section: Modeling geo objects and geo-processes Keywords: artificial neural networks, multilayer perceptron, modeling, sampling.

№1 (2019) Buevich A.G., Moskaleva A.S.,Kosachenko A.I., Shichkin A.V., Sergeev A.P.  Section: Modeling geo objects and geo-processes Keywords: artificial neural networks, random forest, random perceptron forest, interpolation, heavy metals, soil.

«Metallogeny» geoportal.Tkachev A.V., Bulov S.V., Chesalova E.I. … » The «Metallogeny» geoportal is a key element of a spatial data infrastructure node being created in Vernadsky’s SGM RAS. Currently, the geoportal provides an organized access to a metadata catalog, interactive … Continue reading →