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Understanding and Forecasting Air Pollution with the Aid of Artificial Intelligence Methods in Athens, Greece., , and . Tools and Applications with Artificial Intelligence, volume 166 of Studies in Computational Intelligence, Springer, (2009)Understanding and forecasting atmospheric quality parameters with the aid of ANNs., , and . IJCNN, page 2580-2587. IEEE, (2008)Forecasting airborne pollen concentration of Poaceae (Grass) and Oleaceae (Olive), using Artificial Neural Networks and Genetic algorithms, in Thessaloniki, Greece., , , and . IJCNN, page 1-6. IEEE, (2010)Personalized Information Services for Quality of Life: The Case of Airborne Pollen Induced Symptoms., , , and . EANN/AIAI (1), volume 363 of IFIP Advances in Information and Communication Technology, page 509-515. Springer, (2011)Decision Processes Based on IoT Data for Sustainable Smart Cities., , , and . Trans. Computational Collective Intelligence, (2018)Urban Air Quality Forecasting: A Regression and a Classification Approach., , , and . ACIIDS (2), volume 10192 of Lecture Notes in Computer Science, page 539-548. (2017)Identification of major components for integrated urban air quality management and information systems via user requirements prioritisation., , and . Environ. Model. Softw., 18 (2): 173-178 (2003)A Multimedia Application for EIA Studies., , , , and . IEEE Multim., 8 (4): 71-75 (2001)Adaptation of an ANN-Based Air Quality Forecasting Model to a New Application Area., , , , and . ACIIDS (Extended Posters), volume 710 of Studies in Computational Intelligence, page 479-488. Springer, (2017)State-of-the-Art in the Dissemination of AQ Information to the General Public.. EnviroInfo (2), page 41-47. Shaker Verlag, Aachen, (2007)978-3-8322-6397-3.