№3 (2024) Oreshkova M.Yu., Butorin A.V. УДК 550.834.05 https://doi.org/10.47148/1609-364X-2024-3-21-29 Key words: seismic exploration; dynamic interpretation; classification Section: Application of GIS technologies

№1 (2023) Goryachev I.N. УДК 553.411 https://doi.org/10.47148/1609-364X-2023-1-4-17 Key words: mineral prospectivity mapping, machine learning, random forest, gold, metallogenic zoning, Kolyma, North-East Russia Section: Conference proceedings ITES-2022

№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

№4 (2018) Eremeev S.V., Andrianov D.E., Kovalev Yu.A. Section: Application of GIS technologies Keywords: classification of spatial objects, topology, geoinformatics, Barcode.

№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 →