NEBULA (previously known as Fedstellar 1) is a cutting-edge platform designed to facilitate the training of federated models within both centralized and decentralized architectures. It streamlines the ...

ABSTRACT: The integration of set-valued ordered rough set models and incremental learning signify a progressive advancement of conventional rough set theory, with the objective of tackling the ...

ABSTRACT: This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The ...

When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to ...

Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite ...

Researchers at the University of Illinois Urbana-Champaign, Meta, and concrete supplier, Ozinga, partnered on discovering better concrete formulas using AI. Written by Kim Gudeman, CSL The ...

This repository contains our work for our project focused on applying machine learning classification models to e-commerce data. Specifically, we built a Random Forest classification model in order to ...

Abstract: K-dependence Bayesian network classifier(KDB) has been widely used in data mining and machine learning. To enhance the expression ability and classification performance of KDB, the present ...