Assessment of changes in the technical condition of damaged multi-story buildings by using artificial intelligence

• Date: 2025
• Main Authors: Berchun, Yaroslav, Telychko, Roman, Klymenkov, Oleg
• Format: Article
• Language: Ukrainian
• Published: Kyiv National University of Construction and Architecture 2025
• Subjects: damaged multi-story buildings; technical condition; mathematical modeling; neural networks; risk of progressive collapse
• Online Access: https://es-journal.in.ua/article/view/335882
• Journal Title: Environmental safety and natural resources

The article presents the results of the analysis and prospects for applying information technologies to select effective organizational, technological, and technical solutions for eliminating the emergency destruction of multi-story buildings damaged as a result of Russian aggression. Information an...