Bioloxía vexetal e ciencias do solo
Departamento
GONZALO
ASTRAY DOPAZO
PROFESOR/A CONTRATADO/A DOUTOR/A A T.C.
Publicacións nas que colabora con GONZALO ASTRAY DOPAZO (19)
2021
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Machine learning applied to the oxygen-18 isotopic composition, salinity and temperature/potential temperature in the mediterranean sea
Mathematics, Vol. 9, Núm. 19
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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
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Modelling and prediction of monthly global irradiation using different prediction models
Energies, Vol. 14, Núm. 8
2020
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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
2019
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Assessment of neural networks and time series analysis to forecast airborne Parietaria pollen presence in the Atlantic coastal regions
International Journal of Biometeorology, Vol. 63, Núm. 6, pp. 735-745
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Random Forest, Artificial Neural Network, and Support Vector Machine Models for Honey Classification
eFood, Vol. 1, Núm. 1, pp. 69-76
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Sgicmasa: La gestión integrada, con la visión transversal de los riesgos. Avance de resultados del curso 2018/19
Evaluación de la calidad de la investigación y de la educación superior: XVI FECIES. Libro de actas
2018
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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
2016
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Airborne castanea pollen forecasting model for ecological and allergological implementation
Science of the Total Environment, Vol. 548-549, pp. 110-121
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Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain
Water Science and Technology, Vol. 73, Núm. 7, pp. 1756-1767
2015
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A model to forecast the risk periods of Plantago pollen allergy by using the ANN methodology
Aerobiologia, Vol. 31, Núm. 2, pp. 201-211
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Forecasting Olea airborne pollen concentration by means of artificial intelligence
Fresenius Environmental Bulletin, Vol. 24, Núm. 12B, pp. 4574-4580
2011
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Multilayer perceptron neural network for flow prediction
Journal of Environmental Monitoring, Vol. 13, Núm. 1, pp. 35-41
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Prediction of water temperature in a small river using multilayer perceptron artificial neural networks
Electronic Journal of Environmental, Agricultural and Food Chemistry, Vol. 10, Núm. 8, pp. 1608-2615
2010
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Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region
Neural Networks, Vol. 23, Núm. 3, pp. 419-425
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The use of artificial neural networks to forecast biological atmospheric allergens or pathogens only as Alternaria spores
Journal of Environmental Monitoring, Vol. 12, Núm. 11, pp. 2145-2152
2008
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Influence of colloid suspensions of humic acids upon the alkaline fading of carbocations
Journal of Physical Organic Chemistry
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Sorption behaviour of arsenic by iron and aluminium-oxides-coated quartz particles
Fresenius Environmental Bulletin, Vol. 17, Núm. 12 A, pp. 2122-2125