Forecasting airborne pollen concentration of Poaceae (Grass) and Oleaceae (Olive), using Artificial Neural Networks and Genetic algorithms, in Thessaloniki, Greece

The impact of airborne pollen on human health was recognized many years ago as high pollen concentrations of specific taxa are responsible for triggering allergic reactions to humans, therefore affecting the quality of life. In this study, we develop data-driven pollen concentration forecasting mode...

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Bibliographische Detailangaben

Hauptverfasser:	Voukantsis, Dimitris, Karatzas, Kostas D, Damialis, Athanasios, Vokou, Despoina
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling
Online-Zugang:	Volltext bestellen
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