Random Forest Models Outperform Radial Basis Networks for Dam Prediction
A study using the Karun-I dam as a case study finds that Random Forest-based machine learning methods offer superior prediction ...
A study using the Karun-I dam as a case study finds that Random Forest-based machine learning methods offer superior prediction ...
A new hybrid cryptographic protocol combines homomorphic encryption and streamlined secure exponentiation to train non-linear support vector machines across distributed ...
A sensitivity analysis using MLP and RBF neural networks on synthetic cooling data finds that temperature difference, airflow, and mass ...
A nine-year merged radar–gauge precipitation dataset for South Korea delivers 10-minute, 500-meter rainfall estimates with near-zero bias across seasons and ...
Researchers have built a self-calibrating, physics-aware active learning workflow that finds well-matched microstrip patch antenna designs across four substrates and ...
Researchers at Yangzhou University have developed an AI-driven evolutionary algorithm that reconfigures electrical distribution networks to reduce power losses, validated ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine