Abstract: In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...

Bu çalışmada üniversite lisans tezimi sizlerle paylaşıyorum. Bu tez kapsamında günümüzde gitgide popülerleşen makine öğrenmesi ile lidar veri setlerinde sınıflandırma işlemi üzerine çalışmalar ...

ABSTRACT: Enzyme kinetic parameters have been estimated using MATLAB software via the Wilkinson non-linear regression technique. The MATLAB script file written to implement this technique is short and ...