GONZALO ASTRAY DOPAZO-rekin lankidetzan egindako argitalpenak (14)

2023

  1. Machine Learning to Predict the Adsorption Capacity of Microplastics

    Nanomaterials, Vol. 13, Núm. 6

2022

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

    Mathematics, Vol. 9, Núm. 19

2016

  1. Geochemistry of hydrothermal systems: thermal springs of Ourense

    Libro de actas del I Congreso Internacional del Agua "Termalismo y Calidad de Vida": Ourense (España), 23-24 de septiembre de 2015 (Universidade de Vigo), pp. 23-26

2015

  1. Forecasting Olea airborne pollen concentration by means of artificial intelligence

    Fresenius Environmental Bulletin, Vol. 24, Núm. 12B, pp. 4574-4580

  2. Influence prediction of alkylamines upon electrical percolation of AOT-based microemulsions using artificial neural networks

    Tenside, Surfactants, Detergents, Vol. 52, Núm. 6, pp. 473-476

2013

  1. Esters flash point prediction using artificial neural networks

    Journal of Computational Chemistry, Vol. 34, Núm. 5, pp. 355-359

2011

  1. Erratum: Prediction of prop-2-enoate polymer and styrene polymer glass transition using artificial neural networks (Journal of Chemical & Engineering Data (2010) 55 (5340-5346))

    Journal of Chemical and Engineering Data

  2. Erratum: Prediction of refractive index of polymers using artificial neural networks (Journal of Chemical & Engineering Data (2010) 55 (5388-5393))

    Journal of Chemical and Engineering Data

2010

  1. Artificial neural networks: a promising tool to evaluate the authenticity of wine

    CyTA: Journal of food, Vol. 8, Núm. 1, pp. 73-78

  2. Prediction of Prop-2-enoate polymer and styrene polymer glass transition using artificial neural networks

    Journal of Chemical and Engineering Data, Vol. 55, Núm. 11, pp. 5340-5346

  3. Prediction of ethene + oct-1-ene copolymerization ideal conditions using artificial neuron networks

    Journal of Chemical and Engineering Data, Vol. 55, Núm. 9, pp. 3542-3547

  4. Prediction of refractive index of polymers using artificial neural networks

    Journal of Chemical and Engineering Data, Vol. 55, Núm. 11, pp. 5388-5393

2009

  1. Redes Neuronales Artificiales, una herramienta prometedora para evaluar la autenticidad de los vinos: Relación entre las propiedades fisicoquímicas y el proceso de vinificación

    Nuevos horizontes en la viticultura y enología: X Congreso Nacional de Investigación Enológica. Ourense, del 3 al 5 de junio de 2009