IEEE

A Comparative Study of Machine Learning Algorithms for Predicting Customer Churn: Analyzing Sequential, Random Forest, and Decision Tree Classifier Models

Abstract: Predicting customer churn is vital for businesses aiming to retain their customer base and enhance profitability. This study investigates the effectiveness of three prominent machine ...
IEEE

Comparative Analysis of Decision Tree and Random Forest Algorithms in Predicting Potential Buyers and Sellers in the Healthcare Sector

Abstract: The healthcare sector plays a crucial role in ensuring the availability of appropriate and high-quality medicines for patients. This research addresses the issue of overstock and medicine ...
Design And Reuse

Why Post-Quantum Cryptography Doesn’t Replace Classical Cryptography

Kimmo Järvinen is a hardware cryptography engineer and researcher with nearly 20 years of experience in the field. He has authored more than 60 scientific publications on cryptography, cryptographic ...