Traditional and innovative approaches for detecting hazardous liquids

dc.authorscopusid57323751100
dc.authorscopusid48862103700
dc.contributor.authorEfeoglu E.
dc.contributor.authorTuna G.
dc.date.accessioned2024-06-12T10:26:16Z
dc.date.available2024-06-12T10:26:16Z
dc.date.issued2021
dc.description.abstractIn this chapter, traditional and innovative approaches used in hazardous liquid detection are reviewed, and a novel approach for the detection of hazardous liquids is presented. The proposed system is based on electromagnetic response measurements of liquids in the microwave frequency band. Thanks to this technique, liquid classification can be made quickly without pouring the liquid from its bottle and without opening the lid of its bottle. The system can detect solutions with hazardous liquid concentrations of 70% or more, as well as pure hazardous liquids. Since it relies on machine learning methods and the success of all machine learning methods depends on provided data type and dataset, a performance evaluation study has been carried out to find the most suitable method. In the performance evaluation study naive Bayes and sequential minimal optimization has been evaluated, and the results have shown that naive Bayes is more suitable for liquid classification. © 2021 by IGI Global.en_US
dc.identifier.doi10.4018/978-1-7998-6870-5.ch020
dc.identifier.endpage309en_US
dc.identifier.isbn9.7818E+12
dc.identifier.scopus2-s2.0-85118521630en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage290en_US
dc.identifier.urihttps://doi.org/10.4018/978-1-7998-6870-5.ch020
dc.identifier.urihttps://hdl.handle.net/20.500.14551/16761
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.relation.ispartofHandbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologiesen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[Abstarct Not Available]en_US
dc.titleTraditional and innovative approaches for detecting hazardous liquidsen_US
dc.typeBook Chapteren_US

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