Landscape of machine learning applications in infrastructure recovery research (IMAGE)
Caption
A Sankey diagram illustrating the research landscape of machine learning applications in post-disaster infrastructure recovery. The diagram shows the relationships between machine learning approaches (such as reinforcement learning, deep learning, supervised learning, and unsupervised learning), types of natural hazards, infrastructure sectors, study scales, research objectives (characterization, prediction, and optimization), and data sources used in existing studies.
Credit
Li et al., Civil Engineering Sciences (2026)
Usage Restrictions
Credit must be given to the creator.
License
CC BY