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Logistic regression application into leak identification of embankment in-depth probe

cris.lastimport.scopus2024-09-17T01:30:22Z
dc.abstract.enThe publication presents the results of research on the method of spatial analysis of moisture in objects with the use of deep-sea electrodes. The research consisted in the preparation and development of algorithms as well as models for the analysis and reconstruction of images on the basis of data obtained from impedance electrical tomography. The selected algorithms were used to convert electrical values into conductance. The input is electrical values and the output is image pixels. The pixels represent the conductance. The paper presents the use of PCA method in logistic regression as well as elastic network in logistic regression for leak detection in embankments. In order to be able to perform the research, deep-sea probes were used to collect data.
dc.affiliationTransportu i Informatyki
dc.contributor.authorE Kozłowski
dc.contributor.authorKrzysztof Król
dc.contributor.authorTomasz Rymarczyk
dc.date.accessioned2024-08-06T09:27:23Z
dc.date.available2024-08-06T09:27:23Z
dc.date.issued2022
dc.identifier.doi10.1088/1742-6596/2408/1/012021
dc.identifier.eissn1742-6596
dc.identifier.issn1742-6588
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/567
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofJournal of Physics: Conference Series
dc.rightsCC-BY
dc.subject.enlogistic regression
dc.subject.enin-depth probe
dc.subject.enleak identification of embankment
dc.titleLogistic regression application into leak identification of embankment in-depth probe
dc.typeReviewArticleConference
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume2408