IEEE

Detection of Disk Filtration Attacks Using Random Forest (RF) Algorithm Comparing with ML Algorithms for Improving Accuracy

The purpose of the research is to compare Random Forest (RF) Algorithm methods to Extra Trees (ET) Classification algorithms for detecting the Disk Filtration attacks in air gapped computers.
IEEE

Machine Learning Approaches for Loan Default Prediction: A Comparative Analysis of Random Forest and KNN Algorithms

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...
Reuters

Israel and Lebanon agree to implementation of ceasefire

June 3 (Reuters) - Lebanon and Israel said on Wednesday that they had agreed to the implementation of a ‌ceasefire following negotiations in Washington aimed at ending the conflict that flared up ...