{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-3963/paper13.html","spt.description":null,"spt.id":"Vol-3963/paper13","spt.wikidataid":null,"spt.title":"Liminal efficiency for AI general models: investigating\n              compression techniques for maximized performance in the glaucoma's\n              diagnosis and prognosis","spt.pdfUrl":"https://ceur-ws.org/Vol-3963/paper13.pdf","spt.volume":{"number":3963,"acronym":"IntelITSIS 2025","wikidataid":null,"title":"Proceedings of the The 6th International Workshop on Intelligent Information Technologies & Systems of Information Security (IntelITSIS 2025)","description":null,"url":null,"date":"2025-05-15","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-3963/paper13","cvb.title":"Liminal efficiency for AI general models: investigating\n              compression techniques for maximized performance in the glaucoma's\n              diagnosis and prognosis","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Volodymyr Kysil,Olga Drachuk,Anatolii Korol,Valentyna Hnenna,Elena Zaitseva","cvb.vol_number":"3963","cvb.pdf_name":"paper13.pdf","cvb.pages":"156-166","cvb.fail":null}