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undergraduate thesis
Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:584565
Knežević, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Knežević, J. (2023). Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:584565

Knežević, Jakov. "Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:584565

Knežević, Jakov. "Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:584565

Knežević, J. (2023). 'Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:584565

Knežević J. Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:584565

J. Knežević, "Mogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:584565

Metadata
TitleMogućnosti strojnog učenja za potrebe Interneta stvari u pametnom gradu
Title (english)Possibilities of Machine Learning Solutions for Internet of Things in Smart City
AuthorJakov Knežević
MentorDina Šimunić (mentor)
Committee memberDina Šimunić (predsjednik povjerenstva)
Committee memberKrešimir Malarić (član povjerenstva)
Committee memberTomislav Kos (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-06-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad prikazuje temeljne koncepte Interneta stvari, pametnog grada i strojnog učenja. U radu su navedeni problemi s kojima se susreću pametna energetika, pametni okoliš, pametni parking i pametni otpad. Za svaki od tih problema dana je preporuka za korištenje neke metode strojnog učenja za poboljšanje rezultata.
Abstract (english)
This paper shows basic concepts on Internet of Things, smart city and machine learning. In this paper there are examples of issues that can be found in smart energy, smart environment, smart parking and smart waste. For each of these issues, it is given recommendation on which machine learning method should be used for solving those issues.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:584565
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-10-11 09:18:31