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dc.contributor.authorAydin, Yaren
dc.contributor.authorBekdaş, Gebrail
dc.contributor.authorIşıkdağ, Ümit
dc.contributor.authorNigdeli, Sinan Melih
dc.date.accessioned2025-01-09T20:03:33Z
dc.date.available2025-01-09T20:03:33Z
dc.date.issued2023
dc.identifier.issn2198-4182
dc.identifier.urihttps://doi.org/10.1007/978-3-031-34728-3_9
dc.identifier.urihttps://hdl.handle.net/20.500.14124/7546
dc.description.abstractMachine learning (ML) is one of the methods used by the artificial intelligence approach. Machine learning is used to teach machines how to handle data more efficiently. The purpose of machine learning is to learn from the data. Thanks to machine learning, a certain result can be reached without the need for an expert on the subject. It has very common usage areas from the financial sector to e-mail analysis. Machine learning is also widely used in civil engineering. In this study, machine learning is explained in historical development, and general terms and the studies that have been done are summarized. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Systems, Decision and Controlen_US
dc.rightsKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.subjectAlgorithmsen_US
dc.subjectMachine learningen_US
dc.subjectPerformance metricsen_US
dc.subjectSupervised learningen_US
dc.subjectUnsupervised learningen_US
dc.titleThe State of Art in Machine Learning Applications in Civil Engineeringen_US
dc.typebookParten_US
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.doi10.1007/978-3-031-34728-3_9
dc.identifier.volume480en_US
dc.identifier.startpage147en_US
dc.identifier.endpage177en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.identifier.scopus2-s2.0-85171773485en_US
dc.identifier.scopusqualityQ2
dc.indekslendigikaynakScopus
dc.snmzKA_20250105


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