Search Results for: Baglaeva

№3 (2023)

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 →

Application of the permutation method to the assessment of predictive ability of the models of spatial distribution of copper and iron concentrations in the topsoil

№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

№2 (2022)

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)

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)

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 →