A Covenant University graduate who had a childhood dream of being a doctor took to social media to celebrate as she finished ...

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...

Michael Chang never planned to get into coaching, but Learner Tien's team reached out and they turned out to be a remarkably ...

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 ...

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

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 ...

Background: The surface Atrial ECG (A-ECG) time and frequency domains features are not currently used clinically in patients with persistent atrial fibrillation (PeAF). Machine Learning (ML) can ...

In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the interaction and ...

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 ...