Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije

Lončar, Laura

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master's thesis

Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije

Osijek: Josip Juraj Strossmayer University of Osijek, Department of biology, 2023. urn:nbn:hr:181:859521

Lončar, Laura

Josip Juraj Strossmayer University of Osijek
Department of biology

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APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

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

Harvard

Lončar, L. (2023). 'Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of biology, accessed 02 August 2024, https://urn.nsk.hr/urn:nbn:hr:181:859521

Vancouver

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 August 02] Available at: https://urn.nsk.hr/urn:nbn:hr:181:859521

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:181:859521

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Metadata

Title	Identifikacija zvuka leta komaraca (Culicidae) metodama umjetne inteligencije
Title (english)	Mosquito (Culicidae) flight sound identification using Al based methods
Author	Laura Lončar
Mentor	Branimir Hackenberger Kutuzović (mentor)
Committee member	Branimir Hackenberger Kutuzović (član povjerenstva)
Committee member	Goran Vignjević (predsjednik povjerenstva)
Committee member	Stjepan Krčmar (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Department of biology Osijek
Defense date and country	2023-10-30, 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)
Language	croatian
URN:NBN	urn:nbn:hr:181:859521
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	Repository of Department of biology, Josip Juraj Strossmayer University of Osijek
Created on	2023-11-02 09:17:15