This analysis demonstrates damage detection in historical masonry structures using machine learning, suggesting improved assessment techniques for earthquake resilience.
Journal of Earthquake and TsunamiAccepted Papers No AccessDamage Detection in Historical Masonry Minarets using Machine Learning and Optimization-Based Structural AssessmentCemile Duman, Kemal Haciefendioglu, Tekin Gultop, and Ahmet Can AltunisikCemile Duman, Kemal Haciefendioglu Search for more papers by this author , Tekin Gultop Search for more papers by this author , and Ahmet Can Altunisikhttps://orcid.org/0000-0002-2638-2903 Search for more papers by this author https://doi.org/10.1142/S179343112550023XCited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 24 April 2025 Accepted 13 September 2025 PDF download
No takes yet. Share an insight, caveat, or question.
Duman et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: