doctoral thesis
Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:179:601550

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

Cite this document

Dujić Rodić, L. (2023). Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services (Doctoral thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:601550

Dujić Rodić, Lea. "Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:179:601550

Dujić Rodić, Lea. "Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:179:601550

Dujić Rodić, L. (2023). 'Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 25 May 2024, https://urn.nsk.hr/urn:nbn:hr:179:601550

Dujić Rodić L. Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2023 [cited 2024 May 25] Available at: https://urn.nsk.hr/urn:nbn:hr:179:601550

L. Dujić Rodić, "Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:179:601550

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