This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed. The student is expected to gain a deep knowledge of applied Machine Learning algorithms within this innovation laboratory.
Master Thesis Defense: “Assessing Air Pollution in Urban Environments: A Comprehensive Analysis Using Earth Observation and In Situ Measurements” on Friday, March 08 at 13:00
On Friday, March 08, at 13:00, Andreas Bury will present his master thesis on "Assessing Air Pollution in Urban Environments: A Comprehensive Analysis Using Earth Observation and In Situ Measurements" in seminar room 3, John-Skilton-Str. 4a. From the...