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 ...

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 ...

Binary classification of Diabetic Retinopathy using SVM in MATLAB with fundus image features. This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary ...

Elderly patients often have more than one disease that affects walking behavior. An objective tool to identify which disease is the main cause of functional limitations may aid clinical decision ...

Jennifer Vidales struggled with English in the second grade, when she began attending Desert Springs Elementary School in Nampa after transferring mid-school year. With little communication and no ...

A challenging task for the biological neural signal-based human-exoskeleton interface is to achieve accurate lower limb movement prediction of patients with hemiplegia in rehabilitation training ...

1 The Institute of Applied Research, The Galilee Society, Shefa Amr, Israel. 2 Computer Science, The College of Sakhnin, Sakhnin, Israel. 3 Molecular Biology and Genetics, Izmir Institute of ...