Predicting daily ragweed pollen concentrations using Computational Intelligence techniques over two heavily polluted areas in Europe

Author:

Csépe Zoltán,Makra László,Voukantsis Dimitris,Matyasovszky István,Tusnády Gábor,Karatzas KostasORCID,Thibaudon Michel

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference69 articles.

1. Multiple regression models for predicting total daily pollen concentration in Cartagena;Angosto;Grana,2005

2. Possible role of climate changes in variations in pollen seasons and allergic sensitizations during 27years;Ariano;Ann Allergy Asthma Immunol,2010

3. Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models;Aznarte;Expert Syst Appl,2007

4. Az ürömlevelű parlagfű (Ambrosia artemisiifolia L.) elterjedése, morfológiája, biológiája, jelentősége és a védekezés lehetőségei. [Distribution, morphology, biology and importance of common ragweed (Ambrosia artemisiifolia L.) and protection facilities.];Béres;Gyomnövények Gyomirtás,2005

5. (RIMA-Italian Monitoring Network in Aerobiology). Ragweed pollen spreading in Italy;Bonini,2012

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