A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study
Author:
Funder
Junta de Andalucía
Consejería de Transformación Económica, Industria, Conocimiento y Universidades
Federación Española de Enfermedades Raras
Ministerio de Ciencia e Innovación
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
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4. Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe;Damialis;Proc. Natl. Acad. Sci.,2021
5. The EUMETNET AutoPollen programme: establishing a prototype automatic pollen monitoring network in Europe;Clot;Aerobiologia 2020,2020
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