Project Duration:
Project Lead:
Budget:
Funding:
Project Lead:
Budget:
Funding:
2022 – 2023
Lado Kranjčević
50.000,00 HRK
University of Rijeka
Lado Kranjčević
50.000,00 HRK
University of Rijeka
Description: Within this project, we propose researching a methodology that is based on data science for the detection and localization of leaks that is based on artificial intelligence, more precisely, on a hybrid of machine learning and optimization algorithms.
Partners:
Faculty of Civil Engineering, University of Rijeka
Faculty of Engineering, University of Rijeka
Faculty of Medicine, University of Rijeka
Komunalno društvo Vodovod i kanalizacija
Faculty of Engineering, University of Rijeka
Faculty of Medicine, University of Rijeka
Komunalno društvo Vodovod i kanalizacija