Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102600
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dc.contributor.authorStolbovsky, A.en
dc.date.accessioned2021-08-31T15:04:16Z-
dc.date.available2021-08-31T15:04:16Z-
dc.date.issued2020-
dc.identifier.citationStolbovsky A. The Use of Finite Mixture Models and EM-Algorithm to Analyze Grain Structure in HPT-Nanostructured Metallic Materials / A. Stolbovsky. — DOI 10.1088/1757-899X/969/1/012084 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 969. — Iss. 1. — 012084.en
dc.identifier.issn17578981-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097438004&doi=10.1088%2f1757-899X%2f969%2f1%2f012084&partnerID=40&md5=5b73f0062d7a3f79b605877c2ebb80b4
dc.identifier.urihttp://hdl.handle.net/10995/102600-
dc.description.abstractAnalysis of grain size distribution's histograms of Nb and Ni subjected to high-pressure torsion at cryogenic temperatures and Nb3Sn layers formed in Nb/Cu - Sn composite wires after the diffusion annealing has been carried out using statistical analysis method based on the application of finite mixture models and using an expectation - maximization algorithm with the estimation of fitting accuracy by the Bayesian information criterion. It has been established that the approximation by the model with a single component of logarithmic standard distribution is the most suitable for all examined experimental distributions in contrast to the model with two components. Besides, the use of the proposed approach allows to practically eliminate an influence of the additional errors in the experimental data which seem to be introduced at transmission electron microscopy image processing and constructing histograms of grain size distributions. © Published under licence by IOP Publishing Ltd.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIOP Publishing Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIOP Conf. Ser. Mater. Sci. Eng.2
dc.sourceIOP Conference Series: Materials Science and Engineeringen
dc.titleThe Use of Finite Mixture Models and EM-Algorithm to Analyze Grain Structure in HPT-Nanostructured Metallic Materialsen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1088/1757-899X/969/1/012084-
dc.identifier.scopus85097438004-
local.contributor.employeeStolbovsky, A., Ural Federal University Named after the First President of Russia B. N. Yeltsin, 19, Mira St., Ekaterinburg, 620002, Russian Federation, M. N. Miheev Institute of Metal Physics, Ub Ras, 18, S. Kovalevskoy St., Ekaterinburg, 620108, Russian Federation
local.issue1-
local.volume969-
local.contributor.departmentUral Federal University Named after the First President of Russia B. N. Yeltsin, 19, Mira St., Ekaterinburg, 620002, Russian Federation
local.contributor.departmentM. N. Miheev Institute of Metal Physics, Ub Ras, 18, S. Kovalevskoy St., Ekaterinburg, 620108, Russian Federation
local.identifier.pure20231313-
local.identifier.purecbf5796c-5af3-41c3-a541-8af5617aff5euuid
local.description.order012084-
local.identifier.eid2-s2.0-85097438004-
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