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dc.contributor.advisorOlivares Poggi, César Augusto
dc.contributor.authorDe la Jara Sánchez, Césares_ES
dc.date.accessioned2019-09-13T02:59:14Zes_ES
dc.date.available2019-09-13T02:59:14Zes_ES
dc.date.created2019es_ES
dc.date.issued2019-09-12es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12404/14984
dc.description.abstractAn ionogram is a graph that shows the distance that a vertically transmitted wave, of a given frequency, travels before returning to the earth. The ionogram is shaped by making a trace of this distance, which is called virtual height, against the frequency of the transmitted wave. Along with the echoes of the ionosphere, ionograms usually contain a large amount of noise of different nature, that must be removed in order to extract useful information. In the present work, we propose to use a convolutional neural network model to improve the quality of the information obtained from digital ionograms, compared to that using image processing and machine learning techniques, in the generation of electronic density profiles. A data set of more than 900,000 ionograms from 5 ionospheric observation stations is available to use.es_ES
dc.description.uriTrabajo de investigaciónes_ES
dc.language.isoenges_ES
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/pe/*
dc.subjectRedes neuronales (Computación)es_ES
dc.subjectIonosferaes_ES
dc.subjectSistemas de transmisión de datoses_ES
dc.titleIonospheric echoes detection in digital ionograms using convolutional neural networkses_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
thesis.degree.nameMaestro en Informática con mención en Ciencias de la Computaciónes_ES
thesis.degree.levelMaestríaes_ES
thesis.degree.grantorPontificia Universidad Católica del Perú. Escuela de Posgradoes_ES
thesis.degree.disciplineInformática con mención en Ciencias de la Computaciónes_ES
renati.advisor.dni09342040
renati.discipline611087es_ES
renati.levelhttps://purl.org/pe-repo/renati/level#maestroes_ES
renati.typehttp://purl.org/pe-repo/renati/type#trabajoDeInvestigaciones_ES
dc.publisher.countryPEes_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_ES


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