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Factographic Information Retrieval for Biological Objects

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dc.contributor.authorKulik, S. D.
dc.contributor.authorКулик, Сергей Дмитриевич
dc.date.accessioned2024-11-25T14:48:21Z
dc.date.available2024-11-25T14:48:21Z
dc.date.issued2020
dc.description.abstract© 2020, Springer Nature Switzerland AG.This paper describes the results of work to develop an automated factographic information retrieval system for biological forensic objects. The effective factographic information retrieval problem has been investigated in the paper. This factographic information retrieval includes a pattern recognition algorithm, and they are implemented for retrieval only one image among the variety of similar images of biological forensic objects. The automated factographic information retrieval system includes special retrieval block and human operator. Analytical formula was obtained to evaluate the effectiveness of factographic information retrieval using indicator. This formula is presented by effectiveness indicator: average length of the recommendatory list provided by the retrieval block enabling the human operator to take the final decision. The paper describes the structure of the algorithm for factographic information retrieval. Properties of the important indicator of effectiveness – the average length of the recommendatory list for the human operator were explored.
dc.format.extentС. 277-282
dc.identifier.citationKulik, S. D. Factographic Information Retrieval for Biological Objects / Kulik, S.D. // Advances in Intelligent Systems and Computing. - 2020. - 948. - P. 277-282. - 10.1007/978-3-030-25719-4_35
dc.identifier.doi10.1007/978-3-030-25719-4_35
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-25719-4_35
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85070226614&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20010
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.titleFactographic Information Retrieval for Biological Objects
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume948
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relation.isAuthorOfPublication.latestForDiscovery7ce44b2d-ec0b-42b1-beca-1477fbb1b638
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