BIOENGINEER

XGBoost Algorithm Identifies Key Breast Cancer Risk Factors With High Accuracy

A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, ...
BIOENGINEER

Machine Learning Model Accurately Predicts Concrete Strength Across Curing Temperatures

Researchers developed a hybrid machine-learning maturity model that accurately predicts the compressive strength development ...

New AI model could help UN nuclear watchdog achieve near-perfect uranium enrichment assessment

Scientists have developed a new AI model that could provide UN nuclear inspectors with advanced capabilities to ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
GitHub

Real-Time Air Quality Prediction Using Machine Learning

Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...
GitHub

Diamond Price Prediction

Machine learning project for diamond price prediction using XGBoost, regression model comparison, and a Python Tkinter interface. - bernayaman03/Diamond-Price-Prediction ...