Detection of Hazardous Liquids Using Microwave Data and Well-Known Classification Algorithms

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dc.contributor.authorEfeoglu, Ebru
dc.contributor.authorTuna, Gurkan
dc.date.accessioned2024-06-12T11:02:55Z
dc.date.available2024-06-12T11:02:55Z
dc.date.issued2020
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThe recent increase in terrorist attacks realized using liquid explosives has made it important to develop quick and reliable methods that can distinguish between nonhazardous liquids and other liquids that can be used in these explosives. Since the stability and sensitivity properties of microwave systems are high, microwave frequency band is preferred to differentiate hazardous liquids from non-hazardous liquids. In this study, a noncontact system based on electromagnetic response measurements of liquids in microwave frequency band is proposed to develop a classification approach that can be used in liquid scanners. Naive Bayes, linear discriminant analysis, qualitative data analysis, support vector machine, sequential minimal optimization, K-nearest neighbors classification algorithms are used to classify liquids and their classification performances are analyzed. The results of the set of classification experiments prove the success of the proposed measurement method. As the results prove, K-nearest neighbors is the most appropriate classification algorithm for hazardous liquid detection. Since it can be easily implemented and its detection process is fast, a classification system based on the proposed approach can be very useful in airports and shopping malls.en_US
dc.identifier.doi10.1134/S106183092009003X
dc.identifier.endpage751en_US
dc.identifier.issn1061-8309
dc.identifier.issn1608-3385
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85096465617en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage742en_US
dc.identifier.urihttps://doi.org/10.1134/S106183092009003X
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21469
dc.identifier.volume56en_US
dc.identifier.wosWOS:000591949600005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPleiades Publishing Incen_US
dc.relation.ispartofRussian Journal Of Nondestructive Testingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHazardous Liquidsen_US
dc.subjectMicrowaveen_US
dc.subjectClassificationen_US
dc.subjectClassification Algorithmsen_US
dc.subjectPerformanceen_US
dc.subjectExplosives Detectionen_US
dc.subjectTechnologyen_US
dc.titleDetection of Hazardous Liquids Using Microwave Data and Well-Known Classification Algorithmsen_US
dc.typeArticleen_US

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