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  • 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), ...

  • A review of convolutional neural network applied to fruit image processing 

    Naranjo-Torres, José; Mora, Marco ORCID; Hernández-García, Ruber; Barrientos, Ricardo ORCID; Fredes, Claudio ORCID; Valenzuela-Keller, Andrés A. (2020)
    Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...

  • Convolutional neural networks for off-line writer identification based on simple graphemes 

    Mora, Marco ORCID; Naranjo-Torres, José; Aubin, Verónica (2020)
    The writer’s identification/verification problem has traditionally been solved by analyzing complex biometric sources (text pages, paragraphs, words, signatures, etc.). This implies the need for pre-processing techniques, ...

  • Detection of Parkinson’s disease based on spectrograms of voice recordings and Extreme Learning Machine random weight neural networks 

    Guatelli, Renata; Aubin, Verónica; Mora, Marco ORCID; Naranjo-Torres, José; Mora-Olivari, Antonia (2023)
    Parkinson’s disease consists in the degeneration of the mesencephalic black substance, affecting the dopaminergic vias. Its causes are varied, including exposure to pesticides, genetic factors and, one of the most influential ...

  • Fingerprint classification through standard and weighted extreme learning machines 

    Zabala-Blanco, David; Mora, Marco ORCID; Barrientos, Ricardo ORCID; Hernández-García, Ruber; Naranjo-Torres, José (2020)
    Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this ...

  • Raspberries-LITRP database: RGB images database for the industrial applications of red raspberries’ automatic quality estimation 

    Quintero Rincón, Antonio; Mora, Marco ORCID; Naranjo-Torres, José; Fredes, Claudio ORCID; Valenzuela, Andrés (2022)
    This work presents a free new database designed from a real industrial process to recognize, identify, and classify the quality of the red raspberry accurately, automatically, and in real time. Raspberry trays with ...

Sistema de Bibliotecas de la Universidad Católica del Maule, 2017
Campus San Miguel, Talca. Teléfono (56) (71) 2-203 359
Campus Nuestra Señora del Carmen, Curicó. Teléfono (56) (75) 2203 111
Campus San Isidro, Los Niches. Teléfono (56) (75) 2203 617