Zouhair Marmoucha

Enhancing Predictive Accuracy and Operational Performance Based on Entropy–TOPSIS Framework for Machine Learning Model Selection for Predictive Maintenance

In the context of Industry 4.0, predictive maintenance increasingly relies on machine learning models to anticipate equipment failures and reduce unplanned downtime. This makes the selection of the most suitable ML model a multidimensional and complex decision problem, since models with comparable predictive performanc...