Violeta Migallón

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials

Integrating Artificial Intelligence Agents with the Internet of Things for Enhanced Environmental Monitoring: Applications in Water Quality and Climate Data

A parallel methodology using radial basis functions versus machine learning approaches applied to environmental modelling

Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete