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Master's Final Project

dc.contributor.advisorBlanquero Bravo, Rafaeles
dc.contributor.advisorTaboada Antelo, Luises
dc.contributor.advisorAlonso Fernández, Alexandrees
dc.creatorGómez Vargas, Nuriaes
dc.date.accessioned2021-07-15T12:34:56Z
dc.date.available2021-07-15T12:34:56Z
dc.date.issued2021-07-02
dc.identifier.citationGómez Vargas, N. (2021). Development of Artificial Intelligence (AI) techniques for the photo‑identification of fish individuals and implementation of a capture‑mark‑recapture (CMR) model. (Trabajo Fin de Máster Inédito). Universidad de Sevilla, Sevilla.
dc.identifier.urihttps://hdl.handle.net/11441/116174
dc.description.abstractPara evaluar el efecto que ejercen los factores ambientales y presiones humanas sobre los ecosistemas costeros y especies que allí habitan, resulta imprescindible hacer un seguimiento de las poblaciones. En este proyecto, se ha desarrollado un sistema basado en redes neuronales siameses para la fotoidentificación de individuos de Raja undulata, dando lugar a una forma no invasiva y efectiva (Precisión = 0.8) de estudiar individuos en el tiempo y el espacio.es
dc.description.abstractTo assess the effect of environmental factors and human pressures on coastal ecosystems and species that inhabit there, it is essential to monitor populations. In this project, a system based on siamese neural networks has been developed for the photoidentification of individuals of Raja undulata, resulting in a noninvasive and effective (Accuracy = 0.8) way to study individuals in time and space.es
dc.formatapplication/pdfes
dc.format.extent110 p.es
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAprendizaje Profundoes
dc.subjectCiencia Marinaes
dc.subjectsistema de monitoreoes
dc.subjectredes siamesases
dc.subjectreconocimiento por imágeneses
dc.subjectTensorFlowes
dc.subjectDeep Learninges
dc.subjectMarine Scienceses
dc.subjectmonitoring systemes
dc.subjectsiamese networkses
dc.subjectimage recognition,es
dc.titleDevelopment of Artificial Intelligence (AI) techniques for the photo‑identification of fish individuals and implementation of a capture‑mark‑recapture (CMR) modeles
dc.typeinfo:eu-repo/semantics/masterThesises
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.description.degreeUniversidad de Sevilla. Máster Universitario en Matemáticases
dc.publication.endPage102es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional