Search Results for: Sergeev

Obtaining retrospective data of the urbanized landscape condition using computer vision methods on the example of construction works

№2 (2024) Koryukin E.A., Bobakov V.S., Butorovа А.S., Sergeev A.P. УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2024-2-54-63 Keywords: neural network; urbanized environment; geoinformation system; dataset; object class; image segmentation; library; artificial intelligent; object recognition; mask r-cnn. Section: Methodological and technological support for data collection … Continue reading →

№2 (2024)

DOI:10.47148/1609-364X-2024-2 Study of the structure of land in the 18th–21st centuries using GIS technology methods in Kenozersky national parkKozykin A.V., Nakvasina E.N. Analysis of relation between seismicity and features of potential fields within the Lena-Anabar trough: experience of usage modern GIS-technologiesKulyandina … Continue reading →

№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 →

An approach to creating application software for modeling of the deep heat processes (on the example of modeling non-stationary thermal conductivity above a mantle plume in the VLADI GEAD 4.0 MODULE)

№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