{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-3974/paper09.html","spt.description":null,"spt.id":"Vol-3974/paper09","spt.wikidataid":null,"spt.title":"Real-time method of detection wood defects using YOLOv8 model","spt.pdfUrl":"https://ceur-ws.org/Vol-3974/paper09.pdf","spt.volume":{"number":3974,"acronym":"YAISD-WS 2025","wikidataid":null,"title":"Joint Proceedings of the Workshops \"AI for Environmental and Social Sustainability Workshop\" and \"AI and Interdisciplinary Innovations for Sustainable Development\" (YAISD-WS 2025)","description":null,"url":null,"date":"2025-06-12","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-3974/paper09","cvb.title":"Real-time method of detection wood defects using YOLOv8 model","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Vitalii Tkachuk,Sava Kostiuk,Olga Pavlova,Vitalii Alekseiko,Mariia Kostiuk","cvb.vol_number":"3974","cvb.pdf_name":"paper09.pdf","cvb.pages":"107-115","cvb.fail":null}