Environmental informatics with computational intelligence methods in mechanical engineering problems
Abstract
In this thesis, we identify appropriate tools in modern data technologies, such as Computational Intelligence, and develop methodologies for real world engineering problem solving. The main application domain of this thesis is the atmospheric environment. In particular, we address the problem of assessing the air quality of urban environments, taking into account the current legislation (2008/50/EC). We develop a harmonized framework consisting of computational intelligence methods, and apply this methodology in order to analyze air quality data of two European cities (Thessaloniki, Greece and Helsinki, Finland). Furthermore, we expand our approach by forecasting airborne pollen concentrations, whereas we demonstrate the development of innovative quality of life information services, by utilizing medical databases, thus turning numeric forecasts of pollen concentrations into personalized symptoms forecast. Furthermore, we develop and apply a methodology for creating electricity use pro ...
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