Giorgio Guariso

From data to decisions: how neural network input structures propagate to air quality policies

In air-quality planning, Artificial Neural Networks (ANNs) have emerged as surrogate models capable of capturing complex nonlinear relationships between emissions and pollutant concentrations with reduced computational time required by chemical and transport models. However, the...