Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Unlike existing models that rely on expensive or infrequently collected data, BloomSense uses a cost-effective sensor ...

Context-aware computing enables ultra-low-power operation while maintaining high-performance AI capabilities when needed.

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...

As higher education institutions grapple with declining enrollment, tightening budgets, heightened return on investment scrutiny, and a job market that is increasingly moving to skill-based hiring, a ...

This notebook applies Random Forest and XGBoost algorithms to predict the histologic stage of liver cirrhosis based on clinical features. The project covers EDA, preprocessing, model optimization, and ...