An Investigation Into the Impact of Impedance Measurement Parameters on the Limit of Detection of QCM-D Using Machine Learning Model Chaining

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dc.contributor.authorKirimli, Ceyhun E.
dc.contributor.authorElgun, Elcim
dc.contributor.authorYuksel, Mehmet Mert
dc.contributor.authorTugtag, Selin Yagmur
dc.date.accessioned2025-10-16T15:12:06Z
dc.date.issued2025
dc.identifier.doi10.1109/JSEN.2024.3511274
dc.identifier.otherWOS:001418812500045
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/5248
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.sourceIEEE SENSORS JOURNAL
dc.subjectImpedance measurement
dc.subjectResonant frequency
dc.subjectImpedance
dc.subjectResonance
dc.subjectFrequency measurement
dc.subjectSensors
dc.subjectOptimization
dc.subjectMachine learning
dc.subjectHarmonic analysis
dc.subjectBiosensors
dc.subjectExperimental design
dc.subjectimpedance spectroscopy
dc.subjectmachine learning \\(ML\\)
dc.subjectquartz crystal microbalance with energy dissipation \\(QCM\\-D\\)
dc.titleAn Investigation Into the Impact of Impedance Measurement Parameters on the Limit of Detection of QCM-D Using Machine Learning Model Chaining
dc.typeArticle

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