Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
Abstract: The proposed project introduces a bone fracture classification framework implemented in MATLAB which uses the combination of deep learning and machine learning to enhance the accuracy and ...
In May 2025, the U.S. Army’s Soldier Lethality Project at the Picatinny Arsenal in New Jersey announced the official type classification of SIG Sauer’s M7 rifle and M250 automatic rifle, previously ...
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 ...
In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data containing ...
ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
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 ...
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