JUAN CARLOS MEJUTO FERNANDEZ-rekin lankidetzan egindako argitalpenak (61)

2024

  1. Machine Learning Models to Classify Shiitake Mushrooms (Lentinula edodes) According to Their Geographical Origin Labeling

    Foods, Vol. 13, Núm. 17

2023

  1. Assessment of Different Machine Learning Methods for Reservoir Outflow Forecasting

    Water (Switzerland), Vol. 15, Núm. 19

  2. Benefits, toxicity and current market of cannabidiol in edibles

    Critical Reviews in Food Science and Nutrition, Vol. 63, Núm. 22, pp. 5800-5812

  3. Machine Learning to Predict the Adsorption Capacity of Microplastics

    Nanomaterials, Vol. 13, Núm. 6

  4. Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves

    Foods, Vol. 12, Núm. 24

2022

  1. Cyclodextrins inclusion complex: Preparation methods, analytical techniques and food industry applications

    Food Chemistry, Vol. 384

  2. Global Solar Irradiation Modelling and Prediction Using Machine Learning Models for Their Potential Use in Renewable Energy Applications

    Mathematics, Vol. 10, Núm. 24

2021

  1. Essential oils as antimicrobials in crop protection

    Antibiotics, Vol. 10, Núm. 1, pp. 1-12

  2. Machine learning applied to the oxygen-18 isotopic composition, salinity and temperature/potential temperature in the mediterranean sea

    Mathematics, Vol. 9, Núm. 19

  3. Metal and metalloid profile as a fingerprint for traceability of wines under any Galician protected designation of origin

    Journal of Food Composition and Analysis, Vol. 102

  4. Modelling and prediction of monthly global irradiation using different prediction models

    Energies, Vol. 14, Núm. 8

2020

  1. Establecemento dos balances de materia no sector agroalimentario da provincia de Ourense a fin de optimizar os indicadores de circularidade material

    Proxectos INOU 2019: Investigación aplicada na provincia de Ourense (Universidade de Vigo), pp. 213-231

  2. Latest developments in the application of cyclodextrin host-guest complexes in beverage technology processes

    Food Hydrocolloids, Vol. 106

  3. Sistema de Gestión integrada de la Calidad, Medioambiental y de Seguridad alimentaria: la visión transversal de la Prevención de los Riesgos. Resultados del tercer año, curso 2018/19, y resultados finales

    Actas II Congreso Prevencionar 2019: desde la teoría a la práctica. Seguridad, salud, bienestar

2019

  1. Prediction models to control aging time in red wine

    Molecules, Vol. 24, Núm. 5

  2. Random Forest, Artificial Neural Network, and Support Vector Machine Models for Honey Classification

    eFood, Vol. 1, Núm. 1, pp. 69-76

2018

  1. Sistema de gestión integrada de la calidad, medioambiental y de seguridad alimentaria: la visión transversal de la prevención de los riesgos : abstract

    European Allelopathy Society Fourth Young Researchers Workshop: Vigo, Spain, December, 12-13, 2018

2017

  1. Approach of different properties of alkylammonium surfactants using artificial intelligence and response surface methodology

    Tenside, Surfactants, Detergents, Vol. 54, Núm. 2, pp. 132-140

  2. Sistema de Gestión integrada de la Prevención de la Calidad, Medioambiental y de la Seguridad alimentaria: la visión de la Prevención de Riesgos

    Actas Congreso Prevencionar 2017

2016

  1. Airborne castanea pollen forecasting model for ecological and allergological implementation

    Science of the Total Environment, Vol. 548-549, pp. 110-121