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dc.creatorAriza Colpas, Paola Patricia
dc.creatorSanchez Moreno, Hernando Alberto
dc.creatorPineres-Melo, Marlon Alberto
dc.creatorMorales Ortega, Roberto
dc.creatorAyala-Mantilla, Cristian Eduardo
dc.creatorVillate-Daza, Diego Andrés
dc.creatorDe-La-Hoz-Franco, Emiro
dc.creatorCOLLAZOS MORALES, CARLOS ANDRES
dc.date.accessioned2020-04-21T15:16:50Z
dc.date.available2020-04-21T15:16:50Z
dc.date.issued2020
dc.identifier.issn1877-0509
dc.identifier.urihttps://hdl.handle.net/11323/6231
dc.description.abstractThe interaction between the oceanic and continental basins has been of general interest among the scientific community of multiple disciplines, from the physical perspective of how the interaction of fresh and salt waters mutually modulate their hydrodynamic behavior, and how this in turn determines the transport of sediments, nutrients and other tracers, in addition to inducing changes in the morphodynamics of the river and / or coastal-oceanic zone. Due to the importance of technology for the prevention of different environmental phenomena, this article aims to show the systematic review of the literature about different applications that allow software and hardware interaction to support decision making in the sense of aquifers.spa
dc.language.isoengspa
dc.publisherProcedia Computer Sciencespa
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectWireless systemspa
dc.subjectAquifer monitoring systemsspa
dc.subjectInternet of thingsspa
dc.titleInternet of things applied to aquifer monitoring systems: a surveyspa
dc.typeArticlespa
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dcterms.referencesArredondo M., 2017. Variabilidad interanual de la pluma de sedimentos aportados por el Río Magdalena en la zona costera del mar Caribe. Tesis de Maestría. Universidad Nacional de Colombia Sede Medellínspa
dcterms.referencesAriza-Colpas, P., Morales-Ortega, R., Piñeres-Melo, M.A., Melendez-Pertuz, F., Serrano-Torné, G., Hernandez-Sanchez, G., & Martínez-Osorio, H. (2019, September). Teleagro: iot applications for the georeferencing and detection of zeal in cattle. In IFIP International Conference on Computer Information Systems and Industrial Management (pp. 232-239). Springer, Cham.spa
dcterms.referencesAriza-Colpas P., Morales-Ortega R., Piñeres-Melo M.A., Melendez-Pertuz F., Serrano-Torné G., Hernandez-Sanchez G., Collazos-Morales C. Teleagro: Software Architecture of Georeferencing and Detection of Heat of Cattle Workshop on Engineering Applications, Springer, Cham (2019), pp. 159-166spa
dcterms.referencesAriza-Colpas, P., Oviedo-Carrascal, A.I., & De-la-hoz-Franco, E. (2019, July). Using K-Means Algorithm for Description Analysis of Text in RSS News Format. In International Conference on Data Mining and Big Data (pp. 162-169). Springer, Singaporespa
dcterms.referencesPiñeres-Melo, M.A., Ariza-Colpas, P.P., Nieto-Bernal, W., & Morales-Ortega, R. (2019, July). SSwWS: Structural Model of Information Architecture. In International Conference on Swarm Intelligence (pp. 400-410). Springer, Cham.spa
dcterms.referencesAriza-Colpas, P.P., Piñeres-Melo, M.A., Nieto-Bernal, W., & Morales-Ortega, R. (2019, July). WSIA: Web Ontological Search Engine Based on Smart Agents Applied to Scientific Articles. In International Conference on Swarm Intelligence (pp. 338-347). Springer, Cham.spa
dcterms.referencesViloria, A., Neira Rodado, D., & Pineda Lezama, O.B. (2019). Recovery of scientific data using Intelligent Distributed Data Warehouse.spa
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dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1016/j.procs.2020.03.066


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