Показати скорочений опис матеріалу
| dc.contributor.author | Nosov, Р. | |
| dc.contributor.author | Romanov, A. | |
| dc.contributor.author | Skalyha., І. | |
| dc.date.accessioned | 2026-05-15T09:41:32Z | |
| dc.date.available | 2026-05-15T09:41:32Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Nosov P. A. Romanov, I. Skalyha. Intelligent identification of ship types from visual geometric features in maritime safety projects. Матеріали V Міжнародної науково-практичної конференції «Проблеми сталого розвитку морської галузі» (PSDMI – 2025), м. Одеса, 3 – 4 грудня 2025 р. С. 36 – 40. | uk_UA |
| dc.identifier.uri | https://rp.onmu.org.ua/handle/123456789/5644 | |
| dc.description.abstract | This study addresses the enhancement of maritime navigational safety through intelligent ship type identification based on visual-geometric features, particularly under conditions of reduced visibility and dense traffic where human-factor risks increase. The research proposes a software approach that classifies vessels using structured descriptive or catalog data while ensuring interpretability of results in terms aligned with navigational expert reasoning. The objective is to achieve a stable and reproducible classification accuracy of approximately 65 – 70%, supporting its application in simulator training, maritime education, and decision-support systems, and contributing to the development of explainable AI tools in maritime safety contexts. | uk_UA |
| dc.language.iso | en | uk_UA |
| dc.publisher | Матеріали V Міжнародної науково-практичної конференції «Проблеми сталого розвитку морської галузі» | uk_UA |
| dc.subject | Maritime safety, ship type identification, visual-geometric features, explainable artificial intelligence, navigational decision support systems | uk_UA |
| dc.title | Intelligent identification of ship types from visual geometric features in maritime safety projects | uk_UA |
| dc.type | Article | uk_UA |