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Dimensionality-reducing classifiers for Spanish winter maintenance of roadways

dc.contributor.authorJiménez-Bravo, Diego M.
dc.contributor.authorBajo, Javier
dc.contributor.authorDopazo, Esther
dc.contributor.authorDe Paz, Juan F.
dc.contributor.authorLeithardt, Valderi Reis Quietinho
dc.date.accessioned2025-01-14T15:17:25Z
dc.date.available2025-01-14T15:17:25Z
dc.date.issued2023-03
dc.date.updated2023-04-04T08:39:21Z
dc.description.abstractPublic administrations try to maintain and guarantee safety as one of their priorities. Road networks are one of the environments where most incidents usually happen; therefore, it is very important to maintain the safety of drivers and passengers. This safety must be maintained even in adverse circumstances, such as winter weather conditions. Thus, chemical treatments are incorporated to be applied on roads when certain conditions are met. Determining which treatment to apply can be automated through the use of sensors and machine learning techniques. To this end, the article proposes a classifier model capable of predicting the most appropriate chemical treatment based on the environmental properties of the road and its surroundings. The achieved solution offers good results in terms of evaluation metrics.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ciot57267.2023.10084897pt_PT
dc.identifier.slugcv-prod-3225037
dc.identifier.urihttp://hdl.handle.net/10400.26/53817
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.subjectmachine learningpt_PT
dc.subjectPCA techniquespt_PT
dc.subjectroad maintenancept_PT
dc.subjectroad monitoringpt_PT
dc.titleDimensionality-reducing classifiers for Spanish winter maintenance of roadwayspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.title2023 6th Conference on Cloud and Internet of Things (CIoT)pt_PT
rcaap.cv.cienciaid0614-5834-E7F3 | Valderi Reis Quietinho Leithardt
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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