An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...

Abstract: This paper studies on the predicted regression model of support vector machines (SVM). Aiming at the shortage that with the amount of samples grows, training time increases rapidly as well, ...

This project explores the mathematical and practical implementation of Support Vector Machines (SVMs) optimized using Stochastic Gradient Descent (SGD). It includes a theoretical foundation, algorithm ...

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Abstract: This paper investigates the prediction of sailboat prices using the LS-SVM prediction algorithm and the XGBoost algorithm. The study involves training ...