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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/65008
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dc.contributor.authorTareq Nasser Mahdi-
dc.contributor.authorJalal Qais Jameel-
dc.contributor.authorPolshchykov, K. A.-
dc.contributor.authorLazarev, S. A.-
dc.contributor.authorPolshchykov, I. K.-
dc.contributor.authorKiselev, V.-
dc.date.accessioned2025-04-25T12:15:12Z-
dc.date.available2025-04-25T12:15:12Z-
dc.date.issued2021-
dc.identifier.citationClusters partition algorithm for a self-organizing map for detecting resource-intensive database inquiries in a geo-ecological monitoring system / Tareq Nasser Mahdi, Jalal Qais Jameel, K.A. Polshchykov [et al.] // Periodicals of Engineering and Natural Sciences. - 2021. - Vol.9, №4. -P. 1138-1145. - Refer.: p. 1144-1145.ru
dc.identifier.urihttp://dspace.bsuedu.ru/handle/123456789/65008-
dc.description.abstractThe paper presents the research, aimed at improving the efficiency of automated software system for geo-ecological monitoring of agro-industrial sector resources. An algorithm of clusters partition in a self-organizing map was developed, in order to detect resource-intensive inquiries to databases of agricultural resources and objects. The algorithm can be recommended for practical application in an automated software system for geo-ecological monitoring of agricultural resources and objectsru
dc.language.isoenru
dc.subjecttechniqueru
dc.subjectсomputer engineeringru
dc.subjectgeo-ecological monitoringru
dc.subjectagro-industrial sectorru
dc.subjectresource-intensive inquiriesru
dc.subjectdatabasesru
dc.subjectself-organizing mapru
dc.subjectclusters partitionru
dc.titleClusters partition algorithm for a self-organizing map for detecting resource-intensive database inquiries in a geo-ecological monitoring systemru
dc.typeArticleru
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