A two-step identification-optimization approach for climate change control. - Lucia Sangiorgi; Claudio Carnevale (CoDIT, 2022)

A System of Systems for the Optimal Allocation of Pollutant Monitoring Sensors. - Claudio Carnevale; Lucia Sangiorgi; Elena De Angelis; Renata Mansini; Marialuisa Volta (IEEE Syst. J., 2022)

A receding horizon data-driven based control for short term air quality management. - Lucia Sangiorgi; Claudio Carnevale (ACC, 2023)

A Receding Horizon Approach for Climate Change Control. - Claudio Carnevale; Lucia Sangiorgi (CoDIT, 2023)

Convolutional Neural Network to forecast complex systems: the nitrogen oxides concentration case. - Sara Rossi Raccagni; Lucia Sangiorgi; Claudio Carnevale; Sabrina De Nardi (CoDIT, 2024)

A Model Predictive Control Methodology to Integrate Short and Long Term Air Quality Objectives. - Lucia Sangiorgi; Claudio Carnevale (IEEE Access, 2024)

Data-Driven Virtual Sensing for Electrochemical Sensors. - Lucia Sangiorgi; Veronica Sberveglieri; Claudio Carnevale; Sabrina De Nardi; Estefanía Núñez-Carmona; Sara Rossi Raccagni (Sensors, 2024)

Climate Change Impact on Cereal Production in Northern Africa: A Comprehensive Modeling and Control Approach. - Sabrina De Nardi; Claudio Carnevale; Sara Rossi Raccagni; Lucia Sangiorgi (IEEE Access, 2025)