Scientific Research Publishing

Hybrid Deep Learning Model for Breast Cancer Classification in Low-Middle Income Countries: A MobileNetV2 and Cubic SVM ()

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
IEEE

Wavelet Transform and Least Square SVM Technique for Zone and Fault Classification in Electrical Transformer

Abstract: This article offers an innovative method for power transformer fault zone identification and fault type categorization. A hybrid technique considering wavelet transform (WT) and least square ...
IEEE

Robust Fault Classification of Three Phase Induction Motor Using GWO-SVM With Simulation and Hardware Validation

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) ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Scientific Research Publishing

The SVM Classifier with Quartic Truncated Pinball Loss ()

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 ...
GitHub

SVM-KM : SVM and Kernel Methods Matlab Toolbox

Yes, this is another SVM Toolbox but the thing new is that it is fully written in Matlab (even the QP solver). Packages updated on 20/02/2008. This new package proposes a renaming of the "dataset" ...
GitHub

binary-classification

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 ...