Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne <i>Ambrosia</i> Pollen

Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne <i>Ambrosia</i> Pollen

Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, accurately predicting the daily concentration of airborne pollen is of significant public benefit in providing timely alerts. This study presents a method for the robust estimation of the concentratio...

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Bibliographic Details
Main Authors: Gebreab K. Zewdie, David J. Lary, Estelle Levetin, Gemechu F. Garuma
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
<i>Ambrosia</i> pollen
random forest
extreme gradient boosting
deep neural networks
machine learning
ECMWF
pollen allergy
Online Access:https://www.mdpi.com/1660-4601/16/11/1992

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