Author

L. Farinola

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Open access Aug 2026

Machine Learning-Based Surrogate Modeling and Genetic Algorithm Optimization of Industrial Spray Drying Operations

The results demonstrate that integrating ensemble learning with evolutionary optimization provides both high predictive accuracy and actionable optimization capability for complex industrial systems.

L. Farinola · Computer Science · 0 citations

Open access Jul 2026

Data-Driven Policy: Forecasting the Socioeconomic Impact of Industrial Automation Using Machine Learning

A data-driven framework that integrates labour-market microdata, industry performance metrics, and task-level automation-risk indices to forecast changes in key socioeconomic indicators is proposed, reinforcing the value of machine learning—especially Random Forest—as a robust forecasting tool for evidence-based policy...

L. Farinola, J. Assogba, Mahougnon B. M. Assogba · International Journal of App... · 0 citations