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Investigating the Relationship between Social Media Content and Real-time Observations for Urban Air Quality and Public Health.

, and . WIMS, page 59:1-59:7. ACM, (2014)

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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)Understanding and forecasting atmospheric quality parameters with the aid of ANNs., , and . IJCNN, page 2580-2587. IEEE, (2008)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)Environmental Informatics: Concepts and Definitions.. EnviroInfo, page 146-151. Metropolis, Marburg, (2003)ISBEEM: Indoor Environment and Energy Management for School Buildings., and . EnviroInfo, page 169-176. Shaker Verlag, Aachen, (2006)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.A Multimedia Application for EIA Studies., , , , and . IEEE Multim., 8 (4): 71-75 (2001)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)Decision Processes Based on IoT Data for Sustainable Smart Cities., , , and . Trans. Comput. Collect. Intell., (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)