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Listar por materia "Support vector machine"

Mostrando publicaciones 1-5 de 5

  • A model based on clusters of similar color and NIR to estimate oil content of single olives 

    Fredes, Claudio ORCID; Valero, Constantino; Diezma, Belén; Mora, Marco ORCID; Naranjo-Torres, José; Wilson, Manuel; Delgadillo, Gabriel (2021)
    Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), ...

  • Analysis of spectrum detection and decision using machine learning algorithms in cognitive mobile radio networks 

    Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Sánchez, Iván; Zabala-Blanco, David; Román Cañizares, Milton (2021)
    In this work, the performance of four Machine Learning Algorithms (MLAs) applied to Cognitive Mobile Radio Networks (CMRNs) are analyzed. These algorithms are Coalition Game Theory (CGT), Naive Bayesian Classifier (NBC), ...

  • Land cover data of Upper Parana River Basin, South America, at high spatial resolution 

    Rudke, Anderson Paulo; Fujita, Thais; Sanches de Almeida, Daniela; Moreira Eiras, Marilia; Freitas Xavier, Ana Carolina; Abou Rafee, Sameh Adib; Barbosa Santos, Eliane; Bueno-Morais, Marcos V.; Droprinchinski Martins, Leila; Andreoli de Souza, Rita Valéria; Ferreira Souza, Rodrigo Augusto; Hallak, Ricardo; Dias de Freitas, Edmilson; Bertacchi Uvo, Cintia; Martins, Jorge Alberto (2019)
    This study presents a new land cover map for the Upper Paraná River Basin (UPRB-2015), with high spatial resolution (30 m), and a high number of calibration and validation sites. To the new map, 50 Landsat-8 scenes were ...

  • Mapping past landscapes using landsat data. Upper Paraná River Basin in 1985 

    Bueno-Morais, Marcos V.; Rudke, Anderson Paulo; Freitas Xavier, Ana Carolina; Fujita, Thais; Abou Rafee, Sameh Adib; Droprinchinski Martins, Leila; Toledo de Almeida Albuquerque, Taciana; Dias de Freitas, Edmilson; Martins, Jorge Alberto (2020)
    During the last decades, the science of remote sensing of the Earth's surface has produced an enormous amount of data. In parallel, with the increase in computational capacity, several classification methods have been ...

  • Off-line writer verification using segments of handwritten samples and SVM 

    Aubin, Verónica; Santos-Peñas, Matilde; Mora, Marco ORCID (2021)
    This works presents a method to verify a person identity based on off-line handwritten strokes analysis. Its main contribution is that the descriptors are obtained from the constitutive segments of each grapheme, in contrast ...