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dc.contributor.authorKhotyachuk, Roman
dc.contributor.authorJohannsen, Klaus
dc.date.accessioned2023-05-25T09:01:07Z
dc.date.available2023-05-25T09:01:07Z
dc.date.created2023-04-12T17:13:06Z
dc.date.issued2023-03-20
dc.identifier.issn2504-2289
dc.identifier.urihttps://hdl.handle.net/11250/3068958
dc.description.abstractIn this study, the numerical solutions to the Elder problem are analyzed using Big Data technologies and data-driven approaches. The steady-state solutions to the Elder problem are investigated with regard to Rayleigh numbers (Ra), grid sizes, perturbations, and other parameters of the system studied. The complexity analysis is carried out for the datasets containing different solutions to the Elder problem, and the time of the highest complexity of numerical solutions is estimated. An approach to the identification of transient fingers and the visualization of large ensembles of solutions is proposed. Predictive models are developed to forecast steady states based on early-time observations. These models are classified into three possible types depending on the features (predictors) used in a model. The numerical results of the prediction accuracy are given, including the estimated confidence intervals for the accuracy, and the estimated time of 95% predictability. Different solutions, their averages, principal components, and other parameters are visualized.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAnalysis of the Numerical Solutions of the Elder Problem Using Big Data and Machine Learningen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 the authorsen_US
dc.source.articlenumber52en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3390/bdcc7010052
dc.identifier.cristin2140404
dc.source.journalBig Data and Cognitive Computingen_US
dc.identifier.citationBig Data and Cognitive Computing. 2023, 7 (1), 52.en_US
dc.source.volume7en_US
dc.source.issue1en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal