A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

This project employs the Random Forest algorithm to predict Bitcoin prices, utilising five years of comprehensive Bitcoin market data. It focuses on various market aspects such as volatility, market ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

However, as the data are being generated explosively in this big data era, many machine learning algorithms, including the random forest algorithm, may face the difficulty in maintaining and ...

This paper presents an Intrusion Detection System (IDS) framework that utilizes Grid Search Random Forest algorithms along with Boruta feature selection to meet these challenges. With this framework, ...