Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/18187
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKhlevnoi, Oleksandr-
dc.contributor.authorZhezlo-Khlevna, Nataliia-
dc.contributor.authorBorzov, Yurii-
dc.contributor.authorNazar, Yuliia-
dc.contributor.authorPylypenko, Volodymyr-
dc.date.accessioned2026-06-15T10:52:44Z-
dc.date.available2026-06-15T10:52:44Z-
dc.date.issued2026-02-
dc.identifier.issn1613-0073-
dc.identifier.urihttps://sci.ldubgd.edu.ua/jspui/handle/123456789/18187-
dc.language.isoenen_US
dc.publisherCEUR Workshop Proceedings, The 2nd International Workshop on Advanced Applied Information Technologies: AI & DSS Khmelnytskyi, Ukraine, Zilina, Slovakia, December 5, 2025., Vol-4163. Р. 135-144 2026-02-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)en_US
dc.relation.ispartofseriesVol-4163;-
dc.titleMachine learning-based study of fire evacuation parameters in inclusive secondary schoolsen_US
dc.typeArticleen_US
Appears in Collections:2026

Files in This Item:
File Description SizeFormat 
paper12.pdf1.2 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.