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) ...
GitHub

MATLAB-based spectral analysis and classification app using Machine Learning

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 ...
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 ...
IEEE

Detection and Classification of Power Quality Disturbances in Smart Grids using Detrended Fluctuation Analysis and SVM Classifier

Abstract: Conventional power system networks are being replaced by smart-grid systems, resulting in reliable, secure, and environmentally friendly systems. Due to the inclusion of renew-able sources, ...
Scientific Research Publishing

Foody, G.M. and Mathur, A. (2004) A Relative Evaluation of Multiclass Image Classification by Support Vector Machines. IEEE Transactions on Geoscience and Remote Sensing, 42 ...

ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...
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 ...