Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/25341
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dc.contributor.authorMarkovski, Gjorgjien_US
dc.contributor.authorDjinevski, Leoniden_US
dc.contributor.authorChungurski, Slavchoen_US
dc.contributor.authorStojanovski, Tonien_US
dc.date.accessioned2023-01-10T08:18:55Z-
dc.date.available2023-01-10T08:18:55Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/25341-
dc.description.abstractAeronautical navigation datais discussed and possible issues regarding obtaining the source information is presented. AI algorithms for object recognition as presented in order to provide an automated approach for extracting publicly available information that is provided in image formats. The results prove a large accuracy for recognizing aeronautical data.en_US
dc.subjectAI, Neural Networks, Object Recognition, YOLO, SSDen_US
dc.titleAeronauticalObject Recognitionusing Neural Network Algorithmsen_US
dc.typeProceedingsen_US
dc.relation.conferenceICT Innovationsen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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