Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/25341| Title: | AeronauticalObject Recognitionusing Neural Network Algorithms | Authors: | Markovski, Gjorgji Djinevski, Leonid Chungurski, Slavcho Stojanovski, Toni |
Keywords: | AI, Neural Networks, Object Recognition, YOLO, SSD | Issue Date: | 2022 | Conference: | ICT Innovations | Abstract: | Aeronautical 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. | URI: | http://hdl.handle.net/20.500.12188/25341 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| aeronauticalobject-recognitionusing-neural-network-algorithms.pdf | 434.36 kB | Adobe PDF | View/Open |
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