prikaz prve stranice dokumenta Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije
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undergraduate thesis
Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:785146
Došen, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Došen, J. (2023). Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:785146

Došen, Josip. "Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:785146

Došen, Josip. "Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:785146

Došen, J. (2023). 'Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:785146

Došen J. Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 October 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:785146

J. Došen, "Primjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:785146

Metadata
TitlePrimjena metode prepoznavanja stršećih vrijednosti pomoću diskretne totalne varijacije
Title (english)Application of the discrete total variation outlier recognizer method
AuthorJosip Došen
MentorLenka Mihoković (mentor)
Committee memberLenka Mihoković (predsjednik povjerenstva)
Committee memberTomislav Burić (član povjerenstva)
Committee memberMario Krnić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Primijenjena je metoda TVOR na skup podataka zaraženih virusom COVID-19, metoda je provedena na skupu histograma tako da se svakom histogramu izračunala predviđena i prava vrijednost diskretne totalne varijacije te je uzeta razlika između dvije, što je razlika bila veća to je veća vjerojatnost da je navedeni histogram devijantan u odnosu na ostale. Metoda je primijenjena na ulazni skup i izlaz je rezultat metode za svaku državu za koju su postojale dostupne informacije. Rezultati mogu ukazivati na mnoge stvari zbog brojnih poznatih i nepoznatih faktora koji su bili prisutni u svakoj analiziranoj zemlji. Pronađene su i zemlje koje su vrlo devijantne u odnosu na ostale, što može značiti da su u istima brojevi zaraženih bili ili falsificirani ili država nije dobro provodila testiranja ili se virus COVID-19 na specifičan način širio kroz državu. Iako višeznačni, rezultati istraživanja mogu poslužiti u analizi vremena pandemije.
Abstract (english)
Method TVOR was applied on dataset which contains number of people who were infected with virus COVID-19, method was carried out on set of histograms in a way that for every histogram its predicted and real discrete total variations were calculated and difference between the two was taken as a result, bigger difference meant greater probability that that histogram was deviant compared to others. Method was applied on input dataset and the output was result of the method for each country for which available data existed. Results can indicate a lot of different conclusions because of many known and unknown factors which were present in each country whose data were analyzed. Some countries had very deviant results in comparison to others, what could mean that in those countries numbers of infected people were either corrupted or state did not conclude testing’s in a good way or that virus COVID-19 was spread through the population on a specific way. Although ambiguous, the results of the research can be useful in the analysis of the time of the pandemic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:785146
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
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Created on2023-10-11 08:44:16