IEEE

Federated Machine Learning for Cardiovascular Risk Assessment: A Decentralized XGBoost Approach

Abstract: Cardiovascular diseases (CVDs) remain the leading cause of mortality globally, emphasizing the need for accurate and privacy-preserving risk prediction models. This study proposes a ...
IEEE

Evaluating Solar Power Forecasting Robustness: A Comparative Analysis of XGBoost, RNN, KNN, RF, and LSTM with emphasis on Lagged Steps, Sensitivity, and Cross-Validation Techniques

Abstract: The transition towards renewable energies is inevitable in the face of global warming conditions and the increasing scarcity of fossil fuels, alongside their harmful impacts on the ...