№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 (2017) Parshin A.V., Auziņa L.I.,Prosekin S.N., Blinov A.V.,Kosterev A.N., Lonshakov Gr.S.,Usmanova A.M., Shestakov S.A.,Davydenko Yu.A. Section: Geoinformation systems Keywords: GIS, perspective estimation, exploratory drilling, groundwater, geoprocessing, integral index.

Borehole information proces-sing in the GIS INTEGRO.Drovninov D.A. … » The article deals with the processing system of borehole information in the GIS INTEGRO. The following is the description of the structure of the storage wells. Describes the ability to … Continue reading →