master's thesis
Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms

Čmrlec, Marta
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Čmrlec, M. (2022). Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:602176

Čmrlec, Marta. "Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:602176

Čmrlec, Marta. "Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:602176

Čmrlec, M. (2022). 'Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 19 June 2024, https://urn.nsk.hr/urn:nbn:hr:179:602176

Čmrlec M. Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 June 19] Available at: https://urn.nsk.hr/urn:nbn:hr:179:602176

M. Čmrlec, "Monitoring the state of health of the pipes of a water distribution network using machine learning algorithms", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:602176

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