IEEE

Dynamic Pricing Optimization for Coffee Shops Using a Machine Learning Approach with Random Forest Models

Abstract: This study looks at how dynamic pricing can help coffee shops make more revenue using machine learning. It uses three months of sales data to find patterns and predict the effects of price ...
IEEE

Utilizing Random Forests for High-Accuracy Classification in Medical Diagnostics

Abstract: In recent years, medical diagnostics has increasingly relied on machine learning techniques to improve accuracy and efficiency. Among these, the Random Forest algorithm has emerged as a ...
Hosted on MSN

Random package with QR codes may be a scheme, FBI says

WUSA-TV Washington, D.C. Posted: December 16, 2025 | Last updated: December 16, 2025 Get a package that you didn't order? You may not want to scan the QR code inside. The FBI says it could be a scheme ...
openaccessgovernment

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...
SciELO

Optimizing concrete compressive strength prediction with a deep forest model: an advanced machine learning approach

Accurate prediction of concrete compressive strength is essential for ensuring the durability and safety of concrete structures. This study utilizes the Deep Forest (GC Forest) model to predict ...