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External climate data extraction using the forward feature selection method in the context of occupational safety

2022Conference paper Restricted access
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dc.contributor.authorSilva, Felipe G.
dc.contributor.authorSena, Inês
dc.contributor.authorLima, Laíres
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorVaz, Clara B.
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2023-03-15T15:26:33Z
dc.date.available2023-03-15T15:26:33Z
dc.date.issued2022
dc.description.abstractGlobal climate changes and the increase in average temperatures are some of the major contemporary problems that have not been considered in the context of external factors to increase accident risk. Studies that include climate information as a safety parameter in machine learning models designed to predict the occurrence of accidents are not usual. This study aims to create a dataset with the most relevant climatic elements, to get better predictions. The results will be applied in future studies to correlate with the accident history in a retail sector company to understand its impact on accident risk. The information was collected from the National Oceanic and Atmospheric Administration (NOAA) climate database and computed by a wrapper method to ensure the selection of the most features. The main goal is to retain all the features in the dataset without causing significant negative impacts on the prediction score.pt_PT
dc.description.sponsorshipThis work has been supported by FCT—Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020 and NORTE-01-0247-FEDER 072598 iSafety: Intelligent system for occupational safety and well-being in the retail sector.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, Felipe G.; Sena, Inês; Lima, Laires A.; Fernandes, Florbela P.; Pacheco, Maria F.; Vaz, Clara B.; Lima, José; Pereira, Ana I. (2022). External climate data extraction using the forward feature selection method in the context of occupational safety. In 22nd International Conference on Computational Science and Its Applications , ICCSA 2022. Malaga. 13378, p. 3-14pt_PT
dc.identifier.doi10.1007/978-3-031-10562-3_1pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27749
dc.language.isoengpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectWeather conditionspt_PT
dc.subjectData extractionpt_PT
dc.subjectOccupational hazard predictionpt_PT
dc.subjectMachine learningpt_PT
dc.subjectData miningpt_PT
dc.titleExternal climate data extraction using the forward feature selection method in the context of occupational safetypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceMalagapt_PT
oaire.citation.endPage14pt_PT
oaire.citation.startPage3pt_PT
oaire.citation.title22nd International Conference on Computational Science and Its Applications , ICCSA 2022pt_PT
oaire.citation.volume13378pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSena
person.familyNameLima
person.familyNameFernandes
person.familyNamePacheco
person.familyNameVaz
person.familyNameLima
person.familyNamePereira
person.givenNameInês
person.givenNameLaíres
person.givenNameFlorbela P.
person.givenNameMaria F.
person.givenNameClara B.
person.givenNameJosé
person.givenNameAna I.
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person.identifier.orcid0000-0001-7915-0391
person.identifier.orcid0000-0001-9862-6068
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-1519-2016
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57222722951
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person.identifier.scopus-author-id56352045500
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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