Hybrid regression model for near real-time urban water demand forecasting. - Bruno M. Brentan; Edevar Luvizotto Jr.; Manuel Herrera; Joaquín Izquierdo 001; Rafael Pérez-García (J. Comput. Appl. Math., 2017)

Hybrid SOM+k-Means clustering to improve planning, operation and management in water distribution systems. - Bruno M. Brentan; Gustavo Meirelles; Edevar Luvizotto Jr.; Joaquín Izquierdo 001 (Environ. Model. Softw., 2018)

Optimal sensor placement for contamination detection: A multi-objective and probabilistic approach. - Sandra Maria Cardoso; Daniel Bezerra Barros; Eva Oliveira; Bruno M. Brentan; Lubienska Ribeiro (Environ. Model. Softw., 2021)

A Recommendation System Supporting the Implementation of Sustainable Risk Management Measures in Airport Operations. - Silvia Carpitella; Bruno M. Brentan; Antonella Certa; Joaquín Izquierdo 001 (Algorithms, 2023)

Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018-May 2023). - Majid Niazkar; Andrea Menapace; Bruno M. Brentan; Reza Piraei; David Jimenez; Pranav Dhawan; Maurizio Righetti (Environ. Model. Softw., 2024)

A novel approach based on graph signal processing and sampling theory to set pressure sensors in water distribution networks. - Daniel Bezerra; Carlo Giudicianni; Enrico F. Creaco; Gustavo Meirelles; Bruno M. Brentan (Expert Syst. Appl., 2025)

Advanced risk management software for multi-criteria decision-making in uncertain scenarios. - Silvia Carpitella; Fortunato Carpitella; Antonella Certa; Bruno M. Brentan; Joaquín Izquierdo 001 (Comput. Appl. Math., 2025)