Predicting concentration levels of air pollutants by transfer learning and recurrent neural network

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dc.contributor.authorFong, Iat Hang
dc.contributor.authorLi, Tengyue
dc.contributor.authorWong, Raymond K.
dc.contributor.authorTallón Ballesteros, Antonio Javier
dc.date.accessioned2025-01-31T07:37:35Z
dc.date.available2025-01-31T07:37:35Z
dc.date.issued2020-03
dc.description.departmentIngeniería Electrónica, de Sistemas Informáticos y Automáticaes_ES
dc.description.sponsorshipThe authors are thankful to the financial support from the research grants, 1) MYRG2016-00069, titled 'Nature-Inspired Computing and Metaheuristics Algorithms for Optimizing Data Mining Performance' and 2) MYRG2016-00217, titled ‘Improving the Protein-Ligand Scoring Function for Molecular Docking by Fuzzy Rule-based Machine Learning Approaches’ offered by University of Macau and Macau SAR government.es_ES
dc.identifier.citationFong, I. H., Li, T., Fong, S., Wong, R. K., & Tallón-Ballesteros, A. J. (2020). Predicting concentration levels of air pollutants by transfer learning and recurrent neural network. In Knowledge-Based Systems (Vol. 192, p. 105622). Elsevier BV. https://doi.org/10.1016/j.knosys.2020.105622es_ES
dc.identifier.doi10.1016/j.knosys.2020.105622
dc.identifier.issn0950-7051
dc.identifier.issn1872-7409 (electrónico)
dc.identifier.urihttps://hdl.handle.net/10272/24978
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.knosys.2020.105622es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherForecastinges_ES
dc.subject.otherEnvironment monitoringes_ES
dc.subject.otherTransfer learninges_ES
dc.subject.otherRecurrent neural networkes_ES
dc.subject.otherAirborne particle matteres_ES
dc.subject.unesco33 Ciencias Tecnológicases_ES
dc.titlePredicting concentration levels of air pollutants by transfer learning and recurrent neural networkes_ES
dc.typejournal articlees_ES
dc.type.hasVersionAMes_ES
dspace.entity.typePublication

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