Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Abstract: Spatial datasets are used extensively to train machine learning (ML) models for applications such as spatial regression, classification, clustering ... a machine learning-aware spatial data ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

In order to tackle these issues, this paper introduces a novel framework for hierarchical federated learning (HFL) over multi-hop clustering-based VANET. The proposed method utilizes a weighted ...

Find out how tessellation is when shapes fit together in a pattern with no gaps or overlaps. Shapes with 4 sides Explore four-sided shapes looking at straight lines, curved lines and 2D shapes ...