Abstract: The precision of floating-point numbers is a critical task in high-performance computing. Many scientific applications rely on floating-point arithmetic, but excessive precision can lead to ...

Shortest path algorithms like Dijkstra, BFS, and advanced approximations power everything from Google Maps to network routing. Understanding when and how to apply them can save time and resources in ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

ABSTRACT: NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values ...