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Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery

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Bibliographic Details
Published in:International Journal of Disaster Risk Science
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Disaster Risk Science
description
discipline_display Social Sciences
discipline_facet Social Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:47137
institution FRELIP
journal_source_facet International Journal of Disaster Risk Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
— — — — — Management
Sociology
Social Sciences
sub_discipline_display Sociology
sub_discipline_facet Sociology
subject_display — — — — — Management
Sociology
Social Sciences
— — — — — Management
Sociology
Social Sciences
subject_facet — — — — — Management
Sociology
Social Sciences
title Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
title_auth Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
title_full Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
title_fullStr Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
title_full_unstemmed Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
title_short Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
title_sort developing a machine learning-based framework for roadway vulnerability and impact assessment using aerial imagery
topic — — — — — Management
Sociology
Social Sciences
url https://link.springer.com/article/10.1007/s13753-026-00711-3