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eNauka >  Results >  Machine Learning-Based Post-Earthquake Damage State Assessment of Masonry Structures and Sustainable Brick Reuse for Resilient Construction
Title: Machine Learning-Based Post-Earthquake Damage State Assessment of Masonry Structures and Sustainable Brick Reuse for Resilient Construction
Authors: Marinković, Marko  
Issue Date: 2025
Publication: Conference (EMI 2025) Engineering Mechanics Institute, Anaheim, California, May 27-30, 2025
Publisher: EMI - ASCE
Type: Conference Paper
URI: https://grafar.grf.bg.ac.rs/handle/123456789/3737
https://enauka.gov.rs/handle/123456789/984162
Project: RELAR - Rapid Earthquake Loss Assessment and Recovery Framework
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