LinkedIn

About Support Vector Machine Algorithm (SVM’s)...

Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms. SVM is used for Classification as well as Regression problems. However, primarily, it is used for ...
Nature

Research on short-term photovoltaic power generation forecasting model based on multi-strategy improved squirrel search algorithm and support vector machine

Solar photovoltaic (PV) power generation is susceptible to environmental factors, and redundant features can disrupt prediction accuracy. To achieve rapid and accurate online prediction, we propose a ...
LinkedIn

SVM Algorithm: Classification and Regression with Maximum Margin

𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗩𝗲𝗰𝘁𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 (𝗦𝗩𝗠) – 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 ...
IEEE

Clock Differences Prediction Algorithm Based on EMD-SVM

Abstract: A new prediction algorithm based on Empirical model decomposition (EMD) and Support vector machine (SVM) is put forward in this paper, and this algorithm solves the problem of the hydrogen ...
IEEE

A Hybrid CNN-SVM Algorithm for Detecting Manufacturing Defects

Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...
GitHub

kelvinmmuia/SVM-python-custom

A custom implementation of the SVM regression/binary-classification algorithm for Linear, RBF, Polynomial and Sigmoid Curves with AI assistance Classification problem with 2 categories, comparison ...
Nature

ECG-based machine-learning algorithms for heartbeat classification

Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and consist of several waveforms (P, QRS, and T). The duration and shape of each ...
GitHub

svm-model

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 ...