Publication:
A Novel Harmony Search Based Method for Noise Minimization on EEG Signals

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dc.authorscopusid57212214837
dc.authorscopusid56294787600
dc.authorscopusid43261041200
dc.contributor.authorIleri, S.
dc.contributor.authorAslan, Selcuk
dc.contributor.authorDemirci, S.
dc.date.accessioned2025-12-11T00:28:09Z
dc.date.issued2021
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Ileri] Serhat Celil, Ileri Bilgisayar Muhendisligi, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Aslan] Selcuk, Erciyes Üniversitesi, Kayseri, Kayseri, Turkey; [Demirci] Sercan, Bilgisayar Mühendisliǧi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractBig data is a topic that is increasing in popularity day by day, and new techniques are being developed for the optimization processes performed on it. Harmony Search (HS) algorithm, inspired by music and harmonies, is an intuitive algorithm and has been used for the optimization of many problems. In this study, a new technique called source-linked HS algorithm (slinkHSA) focusing on big data optimization problems is presented. Experimental results were obtained with the slinkHS algorithm, results were compared with other popular metaheuristic algorithms and unmodified HS algorithm. The obtained results showed that the technique applied in the slinkHS algorithm adapted to the problem better, in this way better results could be obtained than other algorithms compared. © 2021 IEEEen_US
dc.identifier.doi10.1109/UBMK52708.2021.9559025
dc.identifier.endpage750en_US
dc.identifier.isbn9781665429085
dc.identifier.scopus2-s2.0-85125876146
dc.identifier.startpage747en_US
dc.identifier.urihttps://doi.org/10.1109/UBMK52708.2021.9559025
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36484
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 2021-09-15 through 2021-09-17 -- Ankara -- 176826en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBig Data Optimizationen_US
dc.subjectEEGen_US
dc.subjectHarmony Search Algorithmen_US
dc.subjectSLINKHSAen_US
dc.titleA Novel Harmony Search Based Method for Noise Minimization on EEG Signalsen_US
dc.title.alternativeEEG Sinyallerinde Gürültü Minimizasyonu için Harmoni Arama Temelli Yeni Bir Yöntemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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