doctoral thesis
A method of hydrographic survey technology selection based on the decision tree supervised learning

University of Split
Faculty of Maritime Studies
Department of nautical studies

Cite this document

Golub Medvešek, I. (2021). A method of hydrographic survey technology selection based on the decision tree supervised learning (Doctoral thesis). Split: University of Split, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek, Ivana. "A method of hydrographic survey technology selection based on the decision tree supervised learning." Doctoral thesis, University of Split, Faculty of Maritime Studies, 2021. https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek, Ivana. "A method of hydrographic survey technology selection based on the decision tree supervised learning." Doctoral thesis, University of Split, Faculty of Maritime Studies, 2021. https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek, I. (2021). 'A method of hydrographic survey technology selection based on the decision tree supervised learning', Doctoral thesis, University of Split, Faculty of Maritime Studies, accessed 10 November 2024, https://urn.nsk.hr/urn:nbn:hr:164:995225

Golub Medvešek I. A method of hydrographic survey technology selection based on the decision tree supervised learning [Doctoral thesis]. Split: University of Split, Faculty of Maritime Studies; 2021 [cited 2024 November 10] Available at: https://urn.nsk.hr/urn:nbn:hr:164:995225

I. Golub Medvešek, "A method of hydrographic survey technology selection based on the decision tree supervised learning", Doctoral thesis, University of Split, Faculty of Maritime Studies, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:164:995225

Please login to the repository to save this object to your list.