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Application of PCA with logistic regression in embankment drainage

cris.lastimport.scopus2024-09-15T01:30:58Z
dc.abstract.enThe article presents a method using deep-sea probes, which were used to collect measurements in electrical tomography on the leakage of flood embankments. For this purpose, the main components analysis and elasticnet in logistic regression were used. The results of research on the method of spatial analysis of object moisture are presented. Research focused on the development and comparison of algorithms and models for data analysis and reconstruction using electrical tomography. The presented algorithms were used in the process of converting the input electrical values into the conductance represented by the pixels of the output image. The article presents PCA methods in logistic regression and elastic network in logistic regression to identify leakages in shafts. Deep probes were used to collect data in electrical impedance tomography.
dc.affiliationTransportu i Informatyki
dc.contributor.authorEdward KOZŁOWSKI
dc.contributor.authorKrzysztof Król
dc.contributor.authorTomasz Rymarczyk
dc.date.accessioned2024-08-06T12:06:00Z
dc.date.available2024-08-06T12:06:00Z
dc.date.issued2022
dc.identifier.doi10.15199/48.2022.04.27
dc.identifier.issn0033-2097
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/571
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofPRZEGLĄD ELEKTROTECHNICZNY
dc.rightsClosedAccess
dc.subject.enlogistic regresion
dc.subject.entomography
dc.subject.enseepage of embarkment
dc.titleApplication of PCA with logistic regression in embankment drainage
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issue4
oaire.citation.volume1