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Multilayer Perceptron applied to the IOT systems for identification of saline wedge in the Magdalena estuary - Colombia

dc.contributor.authorPaola Patricia, Ariza-Colpasspa
dc.contributor.authorAyala-Mantilla, Cristian Eduardospa
dc.contributor.authorPiñeres-Melo, Marlon-Albertospa
dc.contributor.authorVillate-Daza, Diegospa
dc.contributor.authorMorales-Ortega, Roberto Cesaspa
dc.contributor.authorDe-la-Hoz Franco, Emirospa
dc.contributor.authorSanchez-Moreno, Hernandospa
dc.contributor.authorButt Aziz, Shariqspa
dc.contributor.authorCollazos Morales, Carlosspa
dc.date.accessioned2021-10-26T19:45:50Z
dc.date.available2021-10-26T19:45:50Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11323/8806spa
dc.description.abstractMaritime safety has become a relevant aspect in logistics processes using rivers. In Colombia, specifically in the Caribbean Region, there is the Magdalena River, a body of water that broadly borders the Colombian territory and is a tributary of various economic and public health activities. At its mouth, this river interacts with the sea directly, which generates a phenomenon called saline wedge, which is directly related to the sediments that must be continuously extracted and which threatens the proper functioning of the port from the city of Barranquilla, Colombia. Through this research, a network of sensors located in strategic places at the mouth of this river was generated, which allows predicting the behavior of the salt wedge. Using artificial neural networks, more specifically, the Multilayer Perceptron algorithm, it was possible to analyze the results of the implementation in light of the indicators or quality metrics, generating a highly reliable scenario that can be replicated in other sections of the river and in other aquifers.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.sourceComputer Information Systems and Industrial Managementspa
dc.subjectIOT systemsspa
dc.subjectMachine learningspa
dc.subjectSalt wedgespa
dc.subjectAquifersspa
dc.subjectMagdalena river estuaryspa
dc.subjectMultilayer Preceptronspa
dc.titleMultilayer Perceptron applied to the IOT systems for identification of saline wedge in the Magdalena estuary - Colombiaspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://link.springer.com/chapter/10.1007/978-3-030-84340-3_19spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1007/978-3-030-84340-3_19spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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