crossrefInternational Journal of Environmental Research and Public Health2019-06-04Cited by 43
Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Ambrosia Pollen
Gebreab K. Zewdie, David J. Lary, Estelle Levetin, Gemechu F. Garuma
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…