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.
EAGLE MSc Defense: High-Resolution Seasonal Rangeland Carrying Capacity in Central Asia Using Sentinel-2 and the CASA Model
On March 19, 2026, Luis David Almeida Famada will present his Master Thesis on " High-Resolution Seasonal Rangeland Carrying Capacity in Central Asia Using Sentinel-2 and the CASA Model" at 15:00 in seminar room 3, John-Skilton-Str. 4a.High-Resolution Seasonal...





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