Support Vector Laboratory is a comprehensive R package implementing various support vector machine (SVM) variants for both classification and regression tasks. Developed for educational and research ...

This study explores the application of Support Vector Machines (SVM) for predicting key performance metrics, namely Gain and S11 (return loss), in microstrip patch antenna design. By leveraging the ...

This article brings an approach that utilizes Support Vector Regression and tuning parameters of Support vector using an enhanced Grasshopper optimization algorithm for predicting the future demand by ...

In this context, this research aims to develop two computational solutions: the first generates synthetic wind gusts and models their static and dynamic loads, while the second employs support vector ...