IEEE

Random Forest, DT And SVM Machine Learning Classifiers for Seed with Advanced WSN Sensor Node

Abstract: Random Forest- RF, Support Vector Machine - SVM and Decision Tree - DT Machine learning classifiers proposed and implemented to develop seed prediction model in Visual Studio code ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
GitHub

Using LDA, SVM, and Decision Trees to deal with MNIST data set

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...
Scientific Research Publishing

Heart Disease Prediction Using Machine Learning Algorithms with Self-Measurable Physical Condition Indicators ()

1 Department of Geography, University of Washington, Seattle, USA. 2 School of Mathematics and Physics, Xi’an Jiaotong-Liverpool University, Suzhou, China. Heart disease, caused by abnormal heart and ...
Analytics India Magazine

How to select the best set of features using SVM?

Support Vector Machine (SVM) is one of the supervised machine learning algorithms which can be used for either classification or regression. Among the various supervised learning algorithms, SVM is ...
Frontiers

DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins

Drug targets are biological macromolecules or biomolecule structures capable of specifically binding a therapeutic effect with a particular drug or regulating physiological functions. Due to the ...