Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/8251
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dc.contributor.authorSimović, P.en_US
dc.contributor.authorStojanović, Katarinaen_US
dc.contributor.authorSavić-Zdravković, D.en_US
dc.contributor.authorMilosavljević, A.en_US
dc.contributor.authorRadenković, M.en_US
dc.contributor.authorPetrović, A.en_US
dc.contributor.authorPredić, B.en_US
dc.contributor.authorBožanić, Milenkaen_US
dc.contributor.authorMilošević, Đ.en_US
dc.date.accessioned2026-02-25T08:40:29Z-
dc.date.available2026-02-25T08:40:29Z-
dc.date.issued2024-11-18-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/8251-
dc.descriptionBook of Abstracts, 156en_US
dc.titleAutomatic Identification of Aquatic Insects Based On Deep Learning and Computer Visionen_US
dc.typeConference Paperen_US
dc.relation.conferenceThe 5th International Conference on Environmental Science and Applications (ICESA 2024), Lisbon, Portugalen_US
dc.identifier.doi10.11159/icesa24.156-
dc.description.rankM34en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.fulltextNo Fulltext-
crisitem.author.deptChair of Invertebrate Zoology and Entomology-
crisitem.author.deptChair of Invertebrate Zoology and Entomology-
crisitem.author.orcid0000-0002-1064-792X-
crisitem.author.orcid0000-0003-4755-2286-
crisitem.author.parentorgInstitute of Zoology-
crisitem.author.parentorgInstitute of Zoology-
Appears in Collections:Conference abstract
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