Regression-based algorithms for exploring the relationships in a cement raw material quarry

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dc.authoridDag, Ahmet/0000-0003-4628-5067
dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.authorwosidDag, Ahmet/B-4046-2008
dc.contributor.authorTutmez, Bulent
dc.contributor.authorDag, Ahmet
dc.date.accessioned2024-08-04T20:36:13Z
dc.date.available2024-08-04T20:36:13Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.description.abstractUsing appropriate raw materials for cement is crucial for providing the required products. Monitoring relationships and analyzing distributions in a cement material quarry are important stages in the process. CaO, one of the substantial chemical components, is included in some raw materials such as limestone and marl; furthermore, appraising spatial assessment of this chemical component is also very critical. In this study, spatial evaluation and monitoring of CaO concentrations in a cement site are considered. For this purpose, two effective regression-based models were applied to a cement quarry located in Turkey. For the assessment, some spatial models were developed and performance comparisons were carried out. The results show that the regression-based spatial modelling is an efficient methodology and it can be employed to evaluate spatially varying relationships in a cement quarry.en_US
dc.identifier.endpage467en_US
dc.identifier.issn1598-8198
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-84869822167en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage457en_US
dc.identifier.urihttps://hdl.handle.net/11616/95861
dc.identifier.volume10en_US
dc.identifier.wosWOS:000311128700002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.relation.ispartofComputers and Concreteen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcementen_US
dc.subjectquarryen_US
dc.subjectregression-based modellingen_US
dc.subjectspatial relationshipen_US
dc.titleRegression-based algorithms for exploring the relationships in a cement raw material quarryen_US
dc.typeArticleen_US

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