BIOENGINEER

Interpretable Machine Learning Automates Quality Control for Broadband Seismic Observation Networks

A new machine learning framework pairs XGBoost and SHAP interpretability to automate real-time quality control across ...
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 ...