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 “Coastal Urban Flood Detection and Analysis Using SAR and CNN-Based Methods: A Case Study for Central Vietnam”
On September 23, 2025, Elly Schmid will present her Master Thesis on " Urban Flood Detection and Analysis Using SAR and CNN-Based Methods: A Case Study for Central Vietnam" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: With over half of the...