Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/17410
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yakovyn, Valentyna | - |
dc.contributor.author | Kriukov, Taras | - |
dc.date.accessioned | 2023-10-09T06:29:15Z | - |
dc.date.available | 2023-10-09T06:29:15Z | - |
dc.date.issued | 2022-11-29 | - |
dc.identifier.citation | V. Yakovyn and T. Kriukov, "Software architecture design of software developed in student engineering teams," 2022 International Conference on Innovative Solutions in Software Engineering (ICISSE), Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine, Nov. 29-30, 2022, pp. 310-312, doi: 10.5281/zenodo.8418713 | uk_UA |
dc.identifier.isbn | 978-966-640-534-3 | - |
dc.identifier.other | 10.5281/zenodo.8418713 | - |
dc.identifier.uri | https://zenodo.org/record/8418713 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/17410 | - |
dc.description.abstract | This paper presents an improved object detection method based on a combination of one-stage object detector followed by an additional classification stage. The article reports an increase in the IoU metric by 8%, classification accuracy by 7%, and f1-score by 5%.The research was conducted using computational experiments and modeling techniques. The results were discussed and interpreted. | uk_UA |
dc.language.iso | en_US | uk_UA |
dc.publisher | Vasyl Stefanyk Precarpathian National University | uk_UA |
dc.subject | computer vision | uk_UA |
dc.subject | object detection | uk_UA |
dc.subject | image classification | uk_UA |
dc.subject | machine learning | uk_UA |
dc.subject | mobile robotics | uk_UA |
dc.subject | software tools | uk_UA |
dc.title | Object detection in mobile robotics | uk_UA |
dc.type | Article | uk_UA |
Appears in Collections: | Наукові роботи студентів, магістрантів, аспірантів (ФМІ) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2022_ICISSE_Yakovyn_Kriukov.pdf | 364.22 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.