Lithological classification of cement quarry using discriminant algorithms

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dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.contributor.authorTutmez, Bulent
dc.date.accessioned2024-08-04T20:45:54Z
dc.date.available2024-08-04T20:45:54Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description.abstractAs such in any industrial raw material site characterization study, making a lithological evaluation for cement raw materials includes a description of physical characteristics as well as grain size and chemical composition. For providing the cement components in accordance with the specifications required, making the classification of the cement raw material pit is needed. To make this identification in a spatial system at a quarry stage, the supervised pattern recognition analysis has been performed. By using four discriminant analysis algorithms, lithological classifications at three levels, which are with limestone, marly-limestone (calcareous marl) and marl, have been made based on the main chemical components such as calcium oxide (CaO), alumina (Al2O3), silica (SiO2), and iron (Fe2O3). The results show that discriminant algorithms can be used as strong classifiers in cement quarry identification. It has also recorded that the conditional and mixed classifiers perform better than the conventional discriminant algorithms.en_US
dc.identifier.doi10.1007/s11771-019-4042-6
dc.identifier.endpage727en_US
dc.identifier.issn2095-2899
dc.identifier.issn2227-5223
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85064914674en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage719en_US
dc.identifier.urihttps://doi.org/10.1007/s11771-019-4042-6
dc.identifier.urihttps://hdl.handle.net/11616/98770
dc.identifier.volume26en_US
dc.identifier.wosWOS:000467908000021en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherJournal Of Central South Univen_US
dc.relation.ispartofJournal of Central South Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcementen_US
dc.subjectdiscriminant analysisen_US
dc.subjectlithology classificationen_US
dc.subjectquarry identificationen_US
dc.titleLithological classification of cement quarry using discriminant algorithmsen_US
dc.typeArticleen_US

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