prikaz prve stranice dokumenta Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije
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master's thesis
Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije
2023. urn:nbn:hr:181:859521
Lončar, Laura
Josip Juraj Strossmayer University of Osijek
Department of biology

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Lončar, L. (2023). Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of biology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:181:859521

Lončar, Laura. "Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of biology, 2023. https://urn.nsk.hr/urn:nbn:hr:181:859521

Lončar, Laura. "Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of biology, 2023. https://urn.nsk.hr/urn:nbn:hr:181:859521

Lončar, L. (2023). 'Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of biology, accessed 06 December 2024, https://urn.nsk.hr/urn:nbn:hr:181:859521

Lončar L. Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of biology; 2023 [cited 2024 December 06] Available at: https://urn.nsk.hr/urn:nbn:hr:181:859521

L. Lončar, "Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of biology, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:181:859521

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Metadata
TitleIdentifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije
Title (english)Mosquito (Culicidae) flight sound identification using Al based methods
AuthorLaura Lončar
MentorBranimir Hackenberger Kutuzović (mentor)
Committee memberBranimir Hackenberger Kutuzović (član povjerenstva)
Committee memberGoran Vignjević (predsjednik povjerenstva)
Committee memberStjepan Krčmar (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of biology
Osijek
Defense date and country2023-10-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Biology
Abstract
Metode umjetne inteligencije sve se više primjenjuju u ekologiji. Klimatske promjene doprinose širenju komaraca te se javlja sve veća potreba za praćenjem i kontrolom njihovih populacija. Ovim radom napravljena su četiri modela utemeljena na umjetnoj inteligenciji: model za binarnu klasifikaciju te modeli za klasifikaciju roda, vrste i funkcionalne skupine komaraca. Napravljene su matrice zabune kako bi se utvrdila učinkovitost modela, te je istražena mogućnost njihove primjene u sklopu projekta CADAPT.
Abstract (english)
Artificial intelligence methods are increasingly applied in ecology. Climate change contributes to the spread of mosquitoes, creating a growing need for monitoring and controlling their populations. In this work, four artificial intelligence-based models were developed: a model for binary classification, as well as models for classifying the gender, species, and functional groups of mosquitoes. Confusion matrices were created to determine the effectiveness of the models, and the possibility of their application within the CADAPT project was explored.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:181:859521
Study programmeTitle: Master of Science Graduate University Study Programme in Biology; specializations in: Master of Biology
Course: Master of Biology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra biologije (magistar/magistra biologije)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2023-11-02 09:17:15