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Identification of road pavement types using bayesian analysis and neural networks

2017-09Journal article Restricted access
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dc.contributor.authorPreto Paulo, Joel
dc.contributor.authorCoelho, J. Louis Bento
dc.date.accessioned2017-10-26T11:28:04Z
dc.date.available2017-10-26T11:28:04Z
dc.date.issued2017-09
dc.description.abstractA new method to classify and identify different types of road pavements by analysing the near field sound profile and texture using statistical learning methods is proposed. A set of characteristics were extracted from the noise profile and from the road surface texture. Sound measurements were carried out following the close-proximity method with the texture descriptors being provided by a high speed profilometer system. As a first approach, it is assumed that the features extracted from the noise and texture characteristics follow normal distributions. However, this assumption is not completely verified for all types of road surfaces. The method presented herein exploits the use of Bayesian analysis complemented by a neural network in order to improve the classification results.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPAULO, Joel Preto; COELHO, J. Louis Bento - Identification of road pavement types using bayesian analysis and neural networks. International Journal of Acoustics and Vibration. ISSN 1027-5851. Vol. 22, N.º3 (2017), pp. 289-295pt_PT
dc.identifier.doi10.20855/ijav.2017.22.3474pt_PT
dc.identifier.issn1027-5851
dc.identifier.urihttp://hdl.handle.net/10400.21/7444
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationFCT CAPS-IST-IDpt_PT
dc.relation.publisherversionhttps://www.iiav.org/ijav/content/volumes/22_2017_497501490091138/vol_3/947_fullpaper_747271506586987.pdfpt_PT
dc.subjectRoad pavements
dc.subjectSound measurements
dc.titleIdentification of road pavement types using bayesian analysis and neural networkspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage295pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage289pt_PT
oaire.citation.titleInternational Journal of Acoustics and Vibrationpt_PT
oaire.citation.volume22pt_PT
person.familyNamepreto paulo
person.givenNamejoel
person.identifier.orcid0000-0001-5270-8930
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication895b3962-effe-4feb-8c96-76983c207cad
relation.isAuthorOfPublication.latestForDiscovery895b3962-effe-4feb-8c96-76983c207cad

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