JUAN CARLOS
MEJUTO FERNANDEZ
CATEDRATICO/A UNIVERSIDADE - TEMPO COMPLETO
JUAN FRANCISCO
GALVEZ GALVEZ
CATEDRATICO/A DE ESCOLA UNIVERSITARIA - TEMPO COMPLETO
Publicacións nas que colabora con JUAN FRANCISCO GALVEZ GALVEZ (14)
2022
2021
2018
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Aldehydes as additives in AOT-based microemulsions: Influence on the electrical percolation
Tenside, Surfactants, Detergents, Vol. 55, Núm. 2, pp. 110-115
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Future challenges on the use of blockchain for food traceability analysis
TrAC - Trends in Analytical Chemistry, Vol. 107, pp. 222-232
2015
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Forecasting Olea airborne pollen concentration by means of artificial intelligence
Fresenius Environmental Bulletin, Vol. 24, Núm. 12B, pp. 4574-4580
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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
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Esters flash point prediction using artificial neural networks
Journal of Computational Chemistry, Vol. 34, Núm. 5, pp. 355-359
2011
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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
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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
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Artificial neural networks: a promising tool to evaluate the authenticity of wine
CyTA: Journal of food, Vol. 8, Núm. 1, pp. 73-78
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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
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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
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Prediction of refractive index of polymers using artificial neural networks
Journal of Chemical and Engineering Data, Vol. 55, Núm. 11, pp. 5388-5393
2009
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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